Beijing Didi Infinity Technology and Development Co., Ltd.

Chine

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        International 586
        États-Unis 382
        Canada 30
Date
Nouveautés (dernières 4 semaines) 15
2022 janvier (MACJ) 13
2021 décembre 13
2021 novembre 6
2021 octobre 2
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Classe IPC
G06Q 50/30 - Transport; Communications 159
G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire 105
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers 87
G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations 83
G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels 80
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Statut
En Instance 218
Enregistré / En vigueur 780
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1.

SYSTEMS AND METHODS FOR PROCESSING SPEECH DIALOGUES

      
Numéro d'application 16996961
Statut En instance
Date de dépôt 2020-08-19
Date de la première publication 2022-01-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Haiyang
  • Han, Kun

Abrégé

The present disclosure is related to systems and methods for processing speech dialogue. The method includes obtaining target speech dialogue data. The method includes obtaining a text vector representation sequence, a phonetic symbol vector representation sequence, and a role vector representation sequence by performing a vector transformation on the target speech dialogue data based on a text embedding model, a phonetic symbol embedding model, and a role embedding model, respectively. The method includes determining a representation vector corresponding to the target speech dialogue data by inputting the text vector representation sequence, the phonetic symbol vector representation sequence, and the role vector representation sequence into a trained speech dialogue coding model. The method includes determining a summary of the target speech dialogue data by inputting the representation vector into a classification model.

Classes IPC  ?

  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la parole; Sélection d'unités de reconnaissance 
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 
  • G06F 40/253 - Analyse grammaticale; Corrigé du style
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

2.

DISPLAY METHODS AND SYSTEMS FOR INDICATOR ARROW IN NAVIGATION MAP

      
Numéro d'application 17450463
Statut En instance
Date de dépôt 2021-10-10
Date de la première publication 2022-01-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Li, Haoran
  • Deng, Chong

Abrégé

The embodiment of the present disclosure discloses a display method and system for an indicator arrow in a navigation map. The method comprises: acquiring at least one indicator arrow information in a navigation route, the at least one indicator arrow information including at least one set of points representing the indicator arrow; determining a highest point of the indicator arrow on a screen based on the at least one indicator arrow information; determining a display position of the indicator arrow on the screen after placing the highest point at a preset position of the screen; and displaying the indicator arrow on the screen.

Classes IPC  ?

  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués

3.

METHOD, APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM FOR DISTRIBUTING ORDERS

      
Numéro d'application 17450458
Statut En instance
Date de dépôt 2021-10-09
Date de la première publication 2022-01-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Qin, Zhiwei
  • Jiao, Yan
  • Li, Minne
  • Wang, Chenxi
  • Wang, Jun
  • Wu, Guobin
  • Ye, Jieping
  • Gong, Zhichen
  • Yang, Yaodong

Abrégé

The present disclosure provides a method, an apparatus, an electronic device, and a computer-readable storage medium for distributing orders. The method may include obtaining attribute information of a service provider and order information of associated orders received by the service provider; obtaining a degree of association between the service provider and each of the associated orders by inputting the attribute information and the order information of the associated orders into an order distribution strategy network; and determining a distribution order for the service provider based on the degrees of association. According to the embodiments of the present disclosure, response rates of the service provider to the orders may be improved.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 50/30 - Transport; Communications

4.

METHODS, SYSTEMS, DEVICES, AND COMPUTER-READABLE STORAGE MEDIUM FOR INFORMATION PROCESSING

      
Numéro d'application 17311343
Statut En instance
Date de dépôt 2019-12-06
Date de la première publication 2022-01-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Bao, Feng

Abrégé

The present disclosure discloses a method, a system, a device, and a computer-readable storage medium for information processing. The method may include: obtaining a help request transmitted by a user terminal, the help request being in response to an event associated with a user; determining a first service provider from a candidate service provider set based on the help request, the first service provider having an ability to arrive at a location where the event happens within a preset time period and handle the event; generating a first help order associated with the help request; and transmitting the first help order to a first terminal associated with the first service provider. The method of the present disclosure may dispatch a rescue order online, thereby improving the accuracy for dispatching the rescue order and the efficiency for rescue. Through dispatching serial rescue orders by obtaining feedback information of the service provider, the rescue order may be dispatched more accurately and a cost for human labor may be reduced.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels

5.

INFORMATION INTERACTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Numéro d'application CN2021105527
Numéro de publication 2022/012436
Statut Délivré - en vigueur
Date de dépôt 2021-07-09
Date de publication 2022-01-20
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Qiu, Linxiang
  • Chen, Qianhong

Abrégé

An information interaction method and apparatus, and an electronic device and a readable storage medium, which relate to the technical field of computers. The method comprises: in response to monitoring that an expected embarking point is within a preset coordinate range, presenting at least one embarking area within the preset coordinate range (100), wherein the expected embarking point is a map coordinate point; receiving a selection instruction for an embarking area, and determining a target embarking area (200); determining a target embarking point corresponding to the target embarking area (300); in response to receiving an order issuing instruction for the target embarking point, determining a recommended route between the current location and the target embarking point (400); and presenting route guidance information on the basis of the recommended route (500).

Classes IPC  ?

  • G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p.ex. requêtes spatio-temporelles

6.

SPECIFYING TRIP DESTINATIONS FROM SPOKEN DIALOGS

      
Numéro d'application 16922946
Statut En instance
Date de dépôt 2020-07-07
Date de la première publication 2022-01-13
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Knight, Kevin
  • Arkhangorodsky, Arkady
  • Axelrod, Amittai
  • Chu, Christopher
  • Fang, Scot
  • Huang, Yiqi
  • Nagesh, Ajay
  • Shi, Xing
  • Zhang, Boliang

Abrégé

Desired vehicle destinations may be determined from spoken dialogs. A speech input may be received from a user through a voice user interface. Current utterance variables may be obtained by tokenizing the user speech input. One or more of a plurality of utterance templates for a reply to the user speech input may be determined by a trained automatic agent based on the plurality of current utterance variables. One of a plurality of Application Programming Interfaces (API) to call and one or more parameters for the API to call with may be determine by the trained automatic agent based on the plurality of current utterance variables. A response may be obtained from the API call. A context string for the reply to the user speech input by the trained automatic agent may be constructed based on the utterance templates and the response of the API call.

Classes IPC  ?

  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G06F 3/16 - Entrée acoustique; Sortie acoustique
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 

7.

METHODS AND SYSTEMS FOR PROVIDING INFORMATION FOR AN ON-DEMAND SERVICE

      
Numéro d'application 17448717
Statut En instance
Date de dépôt 2021-09-24
Date de la première publication 2022-01-13
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Chen, Ye
  • Zhuo, Chengxiang
  • Wu, Zhaoxue
  • Xu, Ming
  • Qin, Kaijie
  • Zhang, Yajie
  • Lu, Haiyang
  • Guo, Dong
  • Yu, Peng
  • Lu, Yanjun
  • Bao, Wenyi

Abrégé

The present disclosure relates to an information providing method for an on-demand service. The method may include receiving service request information from a passenger of a passenger terminal device. The service request information may include a departure location of the passenger. The method may further include acquiring historical service request information related to the passenger; and determining travel-route-related information based at least in part on the departure location of the passenger and the historical service request information. Also disclosed is a system for implementing the method.

Classes IPC  ?

  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • G06F 16/29 - Bases de données d’informations géographiques
  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • G06Q 50/30 - Transport; Communications
  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
  • H04W 4/02 - Services utilisant des informations de localisation
  • H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p.ex. communication véhicule-piétons

8.

VEHICLE REPOSITIONING ON MOBILITY-ON-DEMAND PLATFORMS

      
Numéro d'application CN2020101403
Numéro de publication 2022/006873
Statut Délivré - en vigueur
Date de dépôt 2020-07-10
Date de publication 2022-01-13
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Qin, Zhiwei
  • Jiao, Yan
  • Tang, Xiaocheng
  • Zhu, Hongtu
  • Ye, Jieping

Abrégé

Deep reinforcement learning may be used for vehicle (150) repositioning on mobility-on-demand platforms. Information may be obtained. The information may include a current location of a vehicle (150) on a ride-sharing platform. A set of paths originated from the current location of the vehicle (150) may be obtained. Each of the set of paths may have a length less than a preset maximum path length. A set of expected cumulative rewards along the set of paths may be obtained based on a trained deep value-network. A best path from the set of paths may be selected based on a heuristic tree search of the set of expected cumulative rewards. A next step along the best path may be recommended as a reposition action for the vehicle (150).

Classes IPC  ?

  • G08G 1/0968 - Systèmes impliquant la transmission d'indications de navigation au véhicule
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire

9.

SYSTEMS AND METHODS FOR ADAPTIVELY CHARGING A BATTERY SYSTEM

      
Numéro d'application CN2020100381
Numéro de publication 2022/006694
Statut Délivré - en vigueur
Date de dépôt 2020-07-06
Date de publication 2022-01-13
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Dai, Feng
  • Liu, Haijiang
  • Huang, Zhixin

Abrégé

A system (100) and a method (600) for adaptively charging a battery system (120) including a plurality of battery cells, the method (600) including: receiving a present value of at least one functioning metric indicative of a present status of each battery cell (S602); identifying two discrete values of the at least one functioning metric from a lookup table for each battery cell based on the present value of the at least one functioning metric of the respective battery cell (S606); determining a present value of the charging parameter for the respective battery cell based on values of the charging parameter corresponding to the two identified discrete values in the lookup table (S608); causing the battery system to be charged based on the present values of the charging parameter determined for the respective battery cells (S612).

Classes IPC  ?

  • H02J 7/00 - Circuits pour la charge ou la dépolarisation des batteries ou pour alimenter des charges par des batteries
  • B60L 53/00 - PROPULSION DES VÉHICULES À TRACTION ÉLECTRIQUE; FOURNITURE DE L'ÉNERGIE ÉLECTRIQUE À L'ÉQUIPEMENT AUXILIAIRE DES VÉHICULES À TRACTION ÉLECTRIQUE; SYSTÈMES DE FREINS ÉLECTRODYNAMIQUES POUR VÉHICULES, EN GÉNÉRAL; SUSPENSION OU LÉVITATION MAGNÉTIQUES POUR VÉHICULES; CONTRÔLE DES PARAMÈTRES DE FONCTIONNEMENT DES VÉHICULES À TRACTION ÉLECTRIQUE; DISPOSITIFS ÉLECTRIQUES DE SÉCURITÉ POUR VÉHICULES À TRACTION ÉLECTRIQUE Échange d'éléments d’emmagasinage d'énergie dans les véhicules électriques
  • H01M 10/44 - Méthodes pour charger ou décharger

10.

INFORMATION DISPLAY METHOD, FIRST SERVICE REQUEST TERMINAL, SYSTEM AND ELECTRONIC DEVICE

      
Numéro d'application CN2021104974
Numéro de publication 2022/007839
Statut Délivré - en vigueur
Date de dépôt 2021-07-07
Date de publication 2022-01-13
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhang, Tihui
  • Cao, Yuchu

Abrégé

An information display method, a first service request terminal, a system and an electronic device. A service request position of a first service requester is acquired when a carpooling request from the first service requester is received (S201); dynamic carpooling information during the carpooling process of a second service requester within a preset distance range of the service request position of the first service requester is determined (S202); the dynamic carpooling information of the second service requester is displayed on a display interface of the first service request terminal (S203). Thus, during the time period when the carpooling request is awaiting a response, the dynamic carpooling information of the second service requester within the preset distance range of the service request position of the first service requester is displayed to the first service requester. Display content on the terminal can be effectively enriched, transparency of related information is enhanced, filling the idle waiting time for the user, and the probability of order cancellation can be reduced.

Classes IPC  ?

  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail
  • G06Q 50/30 - Transport; Communications

11.

METHOD AND SYSTEM FOR PREFILTERING IN RIDE-HAILING PLATFORMS

      
Numéro d'application 16920639
Statut En instance
Date de dépôt 2020-07-03
Date de la première publication 2022-01-06
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for prefiltering pending trip requests in a ride-hailing platform. An exemplary method comprises: determining a plurality of feature weight vectors, wherein each of the plurality of feature weight vectors comprises a plurality of feature weights corresponding to a plurality of features for prefiltering rider-driver pairs; simulating dispatches of a plurality of historical trips with prefiltering based on each of the plurality of feature weight vectors to obtain a plurality of scores; training a surrogate model based on the plurality of feature weight vectors in the feature weight matrix and the plurality of scores; constructing an optimization model comprising the surrogate model as an objective function; determining the optimal feature weight vector by solving the optimization model; and prefiltering pending rider-driver pairs in the ride-hailing platform based on the optimal feature weight vector.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06F 17/15 - Calcul de fonction de corrélation
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 20/00 - Apprentissage automatique
  • G06Q 50/30 - Transport; Communications

12.

SYSTEMS AND METHODS FOR SAFETY MONITORING OF ELECTRIC VEHICLE

      
Numéro d'application CN2020098526
Numéro de publication 2022/000128
Statut Délivré - en vigueur
Date de dépôt 2020-06-28
Date de publication 2022-01-06
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Dai, Feng

Abrégé

A system and method for safety monitoring for an electric vehicle are disclosed. The method may include obtaining parameter values of one or more motion parameters associated with a target object (510). The method may also include identifying an abnormal status of the target object based on the parameter values (520). The method may further include obtaining property values of one or more performance properties of a power supply unit of the target object in response to identifying the abnormal status of the target object (530), wherein the power supply unit provides power for the target object. The method may still further include determining a status of the power supply unit based at least in part on the property values (540).

Classes IPC  ?

  • B60L 3/00 - Dispositifs électriques de sécurité sur véhicules propulsés électriquement; Contrôle des paramètres de fonctionnement, p.ex. de la vitesse, de la décélération ou de la consommation d’énergie

13.

METHOD AND SYSTEM FOR RECOMMENDING PICK-UP LOCATION

      
Numéro d'application CN2021102556
Numéro de publication 2022/001902
Statut Délivré - en vigueur
Date de dépôt 2021-06-25
Date de publication 2022-01-06
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Yang, Jiantao
  • Xiong, Ting
  • Chen, Wangting
  • Ma, Li

Abrégé

A method for recommending a pick-up location. The method comprises: acquiring a current location of a user; generating, on the basis of the current location of the user, one or more pieces of candidate pick-up location information; displaying, to the user, the one or more pieces of candidate pick-up location information; receiving one of the one or more pieces of candidate pick-up location information selected by the user; and displaying a recommended pick-up location to the user on the basis of the candidate pick-up location information selected by the user. In the method, recommendation of a pick-up location to a user is made on the basis of a current location of the user and a candidate pick-up location selected by the user, such that the user only needs to make a one-tap selection or perform other simple selection operations to obtain an appropriate recommended pick-up location without having to enter a search term. The invention can provide a more accurate recommended pick-up location conveniently accessible to the user, and save time for the user, thereby improving user experience.

Classes IPC  ?

  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail

14.

METHOD AND SYSTEM FOR USER PROTECTION IN RIDE-HAILING PLATFORMS BASED ON SEMI-SUPERVISED LEARNING

      
Numéro d'application 16911183
Statut En instance
Date de dépôt 2020-06-24
Date de la première publication 2021-12-30
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Zhai, Jinjian

Abrégé

Methods, systems, and apparatus for detecting malicious activities in a ride-hailing platforms are described. An exemplary method comprises: identifying a set of trips from historical data to form training data; training a classifier based on a plurality of features of the set of trips in the training data to identify whether a given trip is malicious or benign; deploying the classifier to classify new trips in the ride-hailing platform for a first period of time to obtain a plurality of malicious trip candidates; storing the plurality of malicious trip candidates in a staging database for a second period of time for data cleansing based on supplementary data collected during the second period of time; fetching, from the staging database, a set of malicious trip candidates that have been stored in the staging database longer than the second period of time; and re-training the classifier.

Classes IPC  ?

  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique
  • G06Q 50/30 - Transport; Communications
  • G06N 20/00 - Apprentissage automatique
  • G06F 21/44 - Authentification de programme ou de dispositif
  • H04W 8/22 - Traitement ou transfert des données du terminal, p.ex. statut ou capacités physiques
  • H04W 68/00 - Avertissement aux utilisateurs, p.ex. alerte ou messagerie, sur l'arrivée d'une communication, un changement de service ou similaires

15.

METHODS AND DEVICES FOR DISPLAYING A HEAT MAP AND PROVIDING HEAT DATA

      
Numéro d'application 17468555
Statut En instance
Date de dépôt 2021-09-07
Date de la première publication 2021-12-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhang, Wentao
  • Zhang, Bo
  • Xie, Weijun
  • Shen, Jiayi

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a computer-implemented method for displaying a heat map are provided. One of the methods includes: receiving heat data from a server, wherein the heat data comprises a color value associated with each of a plurality of regions and one or more geographic locations respectively corresponding to one or more boundary points of each of one or more heat regions among the plurality of regions; generating a first heat map comprising a plurality of pixels; obtaining a second heat map by adjusting the color value of each pixel in the first heat map; and providing the second heat map for display, wherein the second heat is superimposed on a digital map. This method addresses the issue of conventional techniques that service request information may be misrepresented due to abrupt changes in color values across neighboring heat regions.

Classes IPC  ?

  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p.ex. des modèles relationnels ou objet
  • G06F 16/29 - Bases de données d’informations géographiques
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 50/30 - Transport; Communications

16.

METHOD AND DEVICE FOR USING AUGMENTED REALITY IN TRANSPORTATION

      
Numéro d'application 17472900
Statut En instance
Date de dépôt 2021-09-13
Date de la première publication 2021-12-30
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Desai, Chaitanya
  • Grajeda, Ted

Abrégé

Augmented reality may be used to help navigate a user to a desired location. A first location and a device orientation of a user device may be obtained. A second location may be obtained. A path from the first location to the second location may be determined. A camera feed may be displayed on the user device. An indicator of the path may be displayed over the camera feed based on the device orientation. A marker may be displayed over the camera feed in response to determining that the device orientation aligns with the second location, and the marker may indicate the second location.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06F 16/58 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
  • G01C 21/20 - Instruments pour effectuer des calculs de navigation
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06T 19/00 - Manipulation de modèles ou d'images tridimensionnels [3D] pour infographie

17.

SYSTEM AND METHOD FOR RIDE ORDER DISPATCHING

      
Numéro d'application 17460608
Statut En instance
Date de dépôt 2021-08-30
Date de la première publication 2021-12-23
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Qin, Zhiwei
  • Feng, Fei

Abrégé

A method for ride order dispatching comprises: obtaining a current location of a current vehicle from a computing device associated with the current vehicle; obtaining a current list of available orders nearby based on the current location; feeding the current location, the current list of available orders nearby, and a current time to a trained Markov Decision Process (MDP) model to obtain action information, the action information being repositioning the current vehicle to another current location or completing a current ride order by the current vehicle; and transmitting the generated action information to the computing device to cause the current vehicle to reposition to the another current location, stay at the current location, or accept the current ride order by proceeding to a pick-up location of the current ride order.

Classes IPC  ?

  • G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 50/30 - Transport; Communications

18.

METHOD AND SYSTEM FOR PROVIDING REAL-SCENE IMAGE FOR USER

      
Numéro d'application CN2021090486
Numéro de publication 2021/253995
Statut Délivré - en vigueur
Date de dépôt 2021-04-28
Date de publication 2021-12-23
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ye, Cichang
  • Wang, Liqun
  • Li, Yiyan

Abrégé

A method for providing a real-scene image for a user. The method comprises: obtaining at least one candidate real-scene point (A1, A2, A3) on the basis of a target position (L1) (510); determining, on the basis of the target position (L1), a movement direction of a user, and the at least one candidate real-scene point (A1, A2, A3), whether a preset condition is satisfied (520); in response to that the preset condition is satisfied, determining a target real-scene point from the candidate real-scene point (A1, A2, A3) corresponding to the fact that the preset condition is satisfied (530); and determining, on the basis of the target real-scene point, a real-scene image corresponding to the target position (L1), and displaying the real-scene image on a navigation interface related to the user (540). By displaying on the navigation interface of the user the real-scene image of the vicinity of the target position (L1), the accuracy of recognizing the target position (L1) is improved, and thus the task processing efficiency can be improved.

Classes IPC  ?

  • G01C 21/30 - Mise en coïncidence avec des cartes ou des contours

19.

METHOD AND SYSTEM FOR PROVIDING REAL-SCENE IMAGE FOR USER

      
Numéro d'application CN2021090487
Numéro de publication 2021/253996
Statut Délivré - en vigueur
Date de dépôt 2021-04-28
Date de publication 2021-12-23
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ye, Cichang
  • Wang, Liqun
  • Sun, Beijia
  • Li, Yiyan

Abrégé

A method for providing a real-scene image for a user. The method comprises: on the basis of candidate positions, determining at least one first real-scene image corresponding to the candidate positions, and displaying the at least one first real-scene image on a navigation interface related to a user (510); in response to a confirmation operation of the user for one or more of the at least one first real-scene image, determining a candidate position, which corresponds to a confirmed first real-scene image, to be a target position (520); determining a target real-scene point at least on the basis of the target position (530); and at least on the basis of the target real-scene point, determining a second real-scene image corresponding to the target position, and displaying the second real-scene image on the navigation interface (540). According to the embodiments, a real-scene image of a target position is displayed on a navigation interface, such that the accuracy of a user in identifying the target position can be improved.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire

20.

SYSTEMS AND METHODS FOR PERFORMING MOTION TRANSFER USING A LEARNING MODEL

      
Numéro d'application 17020668
Statut En instance
Date de dépôt 2020-09-14
Date de la première publication 2021-12-16
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Che, Zhengping
  • Wu, Kun
  • Jiang, Bo
  • Yin, Chengxiang
  • Tang, Jian

Abrégé

Embodiments of the disclosure provide systems and methods for performing motion transfer using a learning model. An exemplary system may include a communication interface configured to receive a first image including a first movable object and a second image including a second movable object. The system may also include at least one processor coupled to the communication interface. The at least one processor may be configured to extract a first set of motion features of the first movable object from the first image using a first encoder of the learning model and extract a first set of static features of the second movable object from the second image using a second encoder of the learning model. The at least one processor may also be configured to generate a third image by synthesizing the first set of motion features and the first set of static features.

Classes IPC  ?

  • G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p.ex. le suivi des coins ou des segments
  • G06N 20/00 - Apprentissage automatique
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
  • G06F 17/18 - Opérations mathématiques complexes pour l'évaluation de données statistiques

21.

SYSTEMS AND METHODS FOR PERFORMING MOTION TRANSFER USING A LEARNING MODEL

      
Numéro d'application CN2020095755
Numéro de publication 2021/248432
Statut Délivré - en vigueur
Date de dépôt 2020-06-12
Date de publication 2021-12-16
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Che, Zhengping
  • Wu, Kun
  • Jiang, Bo
  • Yin, Chengxiang
  • Tang, Jian

Abrégé

Embodiments of the disclosure provide systems and methods for performing motion transfer using a learning model. An exemplary system may include a communication interface configured to receive a first image including a first movable object and a second image including a second movable object. The system may also include at least one processor coupled to the communication interface. The at least one processor may be configured to extract a first set of motion features of the first movable object from the first image using a first encoder of the learning model and extract a first set of static features of the second movable object from the second image using a second encoder of the learning model. The at least one processor may also be configured to generate a third image by synthesizing the first set of motion features and the first set of static features.

Classes IPC  ?

  • H04N 5/00 - TRANSMISSION D'IMAGES, p.ex. TÉLÉVISION - Détails des systèmes de télévision
  • H04N 7/00 - Systèmes de télévision

22.

MULTI-OBJECTIVE DISTRIBUTIONAL REINFORCEMENT LEARNING FOR LARGE-SCALE ORDER DISPATCHING

      
Numéro d'application CN2020093952
Numéro de publication 2021/243568
Statut Délivré - en vigueur
Date de dépôt 2020-06-02
Date de publication 2021-12-09
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhou, Fan
  • Tang, Xiaocheng
  • Qin, Zhiwei
  • Zhang, Fan
  • Zhu, Hongtu

Abrégé

Multi-objective distributional reinforcement learning may be applied to order dispatching on ride-hailing platforms. A set of historical driver trajectories and a set of driver-order pairs may be obtained. A weight vector between a first reward of the set of historical driver trajectories and a second reward of the set of historical driver trajectories may be determined using inverse reinforcement learning (IRL). A first value function and a second value function may be jointly learned using distributional reinforcement learning (DRL) based on the historical driver trajectories and the weight vector. A set of scores comprising a score of each driver-order pair in the set of driver-order pairs may be determined based on the weight vector, the first value function, and the second value function. A set of dispatch decisions may be determined based on the set of scores that maximizes a total reward of the set of dispatch decisions.

Classes IPC  ?

  • G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers

23.

IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, VEHICLE TRAVELING DATA RECORDER, AND SERVER

      
Numéro d'application CN2020094780
Numéro de publication 2021/243724
Statut Délivré - en vigueur
Date de dépôt 2020-06-05
Date de publication 2021-12-09
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xia, Xing
  • Li, Guozhen
  • Gui, Wenbin

Abrégé

An image processing method, an electronic device, a vehicle traveling data recorder, and a server. The method comprises: training, according to a plurality of groups of image training samples, a machine learning model to obtain an image processing model, wherein each group of the image training samples comprises: an input feature parameter comprising a sample image in an abnormal state and an output feature parameter comprising a label for identifying the abnormal state (S101); and inputting an image acquired by an image sensor into the image processing model, and determining the abnormal state of the image according to an output result of the image processing model (S102). In the solution, an identification mode of an abnormal state of an image is easily implemented, is strong in repeatability, can be applied to image sensors in various scenarios, and has a very high practicability.

Classes IPC  ?

24.

INDOOR NAVIGATION

      
Numéro d'application CN2020093203
Numéro de publication 2021/237659
Statut Délivré - en vigueur
Date de dépôt 2020-05-29
Date de publication 2021-12-02
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Teng, Xiaoqiang
  • Xu, Pengfei
  • Ma, Chaowei
  • Xu, Bin
  • Zhang, Jun
  • Meng, Yiping
  • Hu, Runbo
  • Chai, Hua

Abrégé

A new approach for identifying a stepping event is proposed in indoor navigation. The approach involves the following steps: obtaining a first signal fragment and a second signal fragment respectively within a first time window and a second time window in an acceleration signal stream, wherein the acceleration signal stream is collected from an acceleration sensor associated with a moving user, the first time window being shorter than the second time window (210); determining a first amplitude feature and a second amplitude feature for the first and second time windows based on the first and second signal fragments, respectively (220); identifying a stepping event of the user based on a deviation between the first and second amplitude features (230). With the above approach, the stepping event is identified in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

Classes IPC  ?

  • G01C 22/00 - Mesure de la distance parcourue sur le sol par des véhicules, des personnes, des animaux ou autres corps solides en mouvement, p.ex. en utilisant des odomètres ou en utilisant des podomètres
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G01C 21/16 - Navigation; Instruments de navigation non prévus dans les groupes en utilisant des mesures de la vitesse ou de l'accélération exécutées à bord de l'objet navigant; Navigation à l'estime en intégrant l'accélération ou la vitesse, c. à d. navigation par inertie

25.

INDOOR NAVIGATION

      
Numéro d'application CN2020093204
Numéro de publication 2021/237660
Statut Délivré - en vigueur
Date de dépôt 2020-05-29
Date de publication 2021-12-02
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Teng, Xiaoqiang
  • Xu, Pengfei
  • Ma, Chaowei
  • Xu, Bin
  • Zhang, Jun
  • Meng, Yiping
  • Hu, Runbo
  • Chai, Hua

Abrégé

A new approach for determining a movement orientation of a user is proposed in indoor navigation. The approach involves: obtaining a device orientation of a terminal device based on at least one signal stream collected from the terminal device carried by a moving user (1110); determining a deviation degree based on the at least one signal stream, wherein the deviation degree represents a deviation between a movement orientation of the user and an actual device orientation of the terminal device (1120); determining the movement orientation based on the device orientation in accordance with a determination that the deviation degree is below a threshold degree (1130). With the approach, the movement orientation of the user is determined in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

Classes IPC  ?

  • G01P 13/02 - Indication de la direction uniquement, p.ex. par une girouette
  • G01P 21/00 - Essai ou étalonnage d'appareils ou de dispositifs couverts par les autres groupes de la présente sous-classe
  • G01C 22/00 - Mesure de la distance parcourue sur le sol par des véhicules, des personnes, des animaux ou autres corps solides en mouvement, p.ex. en utilisant des odomètres ou en utilisant des podomètres

26.

ELECTRIC VEHICLE CHARGING SYSTEMS AND METHODS

      
Numéro d'application CN2020092975
Numéro de publication 2021/237584
Statut Délivré - en vigueur
Date de dépôt 2020-05-28
Date de publication 2021-12-02
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Yangyang
  • Wei, Xiaoying

Abrégé

An electric vehicle charging method may include receiving a charging request for charging an electric vehicle; sending a charging cost determination model and a charging instruction to a charger (150) that charges the electric vehicle, wherein the charging cost determination model is customized based by a user profile associated with the electric vehicle; determining a first cost based on the charging cost determination model; obtaining a second cost from the charger (150), wherein the second cost is determined by the charger (150) based on the charging cost determination model; and determining a final charging cost of the electric vehicle based on the first cost and the second cost.

Classes IPC  ?

  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 50/06 - Fourniture d'électricité, de gaz ou d'eau
  • G06Q 20/14 - Architectures de paiement spécialement adaptées aux systèmes de facturation

27.

SYSTEMS AND METHODS FOR ONLINE TO OFFLINE SERVICES

      
Numéro d'application CN2020090895
Numéro de publication 2021/232203
Statut Délivré - en vigueur
Date de dépôt 2020-05-18
Date de publication 2021-11-25
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Zhang, Cheng

Abrégé

Systems and methods for online to offline services are provided. The methods may include obtaining a first service request issued by a first service requester, the first service request including a request time point, a start location, and a destination. The methods may further include determining a target time point based on at least one of the request time point or an input by the first service requester, wherein the target time point is after the request time point. The methods may further include obtaining one or more candidate service requests, and determining a service request set and a target service provider that matches with the service request set by executing, starting at the target time point, a matching process based on the first service request and the one or more candidate service requests. The service request set may include the first service request.

Classes IPC  ?

28.

METHOD AND SYSTEM FOR CONSTRUCTING VIRTUAL ENVIRONMENT FOR RIDE-HAILING PLATFORMS

      
Numéro d'application CN2020090215
Numéro de publication 2021/226925
Statut Délivré - en vigueur
Date de dépôt 2020-05-14
Date de publication 2021-11-18
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Shang, Wenjie
  • Li, Qingyang
  • Qin, Zhiwei
  • Ye, Jieping
  • Yu, Yang
  • Meng, Yiping

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for constructing a virtual environment for a ride-hailing platform are disclosed. An exemplary method comprises: obtaining a plurality of historical interaction trajectories each comprising one or more interaction records between a driver and a ride-hailing platform, each interaction record comprising a program recommendation of the ride-hailing platform to the driver and a reaction of the driver in response to the program recommendation; training a simulator based on the plurality of historical interaction trajectories; and integrating a reward function with the simulator to construct the virtual environment, wherein the plurality of first program recommendations and the plurality of reactions form a plurality of simulated interactions, and a data distribution of the plurality of simulated interactions approximates a data distribution of a plurality of interaction records in the plurality of historical interaction trajectories.

Classes IPC  ?

  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations

29.

SYSTEMS AND METHODS FOR OBJECT EVALUATION

      
Numéro d'application CN2020089001
Numéro de publication 2021/223165
Statut Délivré - en vigueur
Date de dépôt 2020-05-07
Date de publication 2021-11-11
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Xu, Jixing

Abrégé

A method for object evaluation is provided. The method may include for each of one or more first virtual edges associated with a plurality of objects, obtaining first edge feature information of the first virtual edge. The first virtual edge may connect two objects of the plurality of objects. The first edge feature information of the first virtual edge may include feature information of an entity group that includes one or more entities associated with the two objects. The method may also include determining an object representation vector of at least one of the objects based on object feature information of the objects and the first edge feature information of the first virtual edges by applying an object representation model. The method may further include generating an evaluation result with respect to the at least one object based on the object representation vector by applying an object evaluation model.

Classes IPC  ?

  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation
  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail

30.

HIGH-PRECISION MAP BUILDING METHOD AND SYSTEM

      
Numéro d'application CN2021072513
Numéro de publication 2021/223465
Statut Délivré - en vigueur
Date de dépôt 2021-01-18
Date de publication 2021-11-11
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Minkang
  • Wang, Fei

Abrégé

A high-precision map building method (500) and system (100, 400). The high-precision map building method (500) comprises: building local maps, and obtaining a global map on the basis of a plurality of local maps, wherein the building of each local map comprises: acquiring pose data of a vehicle and point cloud data related to a laser radar (510); obtaining a local point cloud set on the basis of the pose data and the point cloud data (520); performing registration and optimization processing on the basis of the local point cloud set, so as to obtain an optimized pose node and a local point cloud set corresponding to the optimized pose node (530); and generating the local map on the basis of the optimized pose node and the local point cloud set corresponding to the optimized pose node (540). A task of building a global map is divided into a plurality of subtasks of building local maps, and then, a plurality of instances of distributed processing are performed on a plurality of sub-steps of each subtask, such that the building of a high-precision map can be quickly completed, thereby improving efficiency and reducing cost.

Classes IPC  ?

  • G09B 29/00 - Cartes; Plans; Graphiques; Tracés, p.ex. tracés de routes
  • G01C 21/32 - Structuration ou formatage de données cartographiques

31.

NAVIGATION INFORMATION SHARING METHOD AND SYSTEM

      
Numéro d'application 17356561
Statut En instance
Date de dépôt 2021-06-24
Date de la première publication 2021-11-04
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Miao, Wei

Abrégé

The method and device for sharing navigation information provided in some embodiments of the present disclosure may obtain a navigation route by determining different road sections in an entire route of a user travel in a process of user travel. Each existing real-time shared navigation route that will enter the road section may be obtained, so as to realize the sharing of the navigation route. Therefore, the computation load for navigation data may be effectively reduced. The occupation and waste of computing resources may be reduced. Further, the convenience and smoothness of travel by the user terminal may be ensured, which is beneficial in improving the experience of the user terminal.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G01C 21/28 - Navigation; Instruments de navigation non prévus dans les groupes spécialement adaptés pour la navigation dans un réseau routier avec corrélation de données de plusieurs instruments de navigation

32.

SYSTEMS AND METHODS FOR HEALTH EVALUATION OF STORAGE MEDIUM

      
Numéro d'application CN2020087939
Numéro de publication 2021/217536
Statut Délivré - en vigueur
Date de dépôt 2020-04-30
Date de publication 2021-11-04
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Chen, Gong

Abrégé

Systems and methods for health evaluation of a storage medium are provided. The method may include obtaining monitoring data of a storage medium. The monitoring data may be obtained from one or more registers of the storage medium and indicate a current running status of the storage medium. The method may also include evaluating, based on the monitoring data of the storage medium, a health status of the storage medium to obtain an evaluation result.

Classes IPC  ?

  • G06F 11/32 - Surveillance du fonctionnement avec indication visuelle du fonctionnement de la machine

33.

SYSTEMS AND METHODS FOR DETERMINING A TWO-DIMENSIONAL MAP

      
Numéro d'application CN2020085757
Numéro de publication 2021/212294
Statut Délivré - en vigueur
Date de dépôt 2020-04-21
Date de publication 2021-10-28
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Minkang
  • Wang, Fei

Abrégé

A system (100) and method for determining a two-dimensional map. The method may include obtaining a pose graph of a region. The pose graph may include a plurality of route-tracking datasets in the region. Each route-tracking dataset may include a plurality of nodes (710, 720). The method may also include determining at least one overlapped sub-region included in the region based on the plurality of route-tracking datasets. At least two of the plurality of route-tracking datasets may overlap at one of the at least one overlapped sub-region and the at least two of the plurality of route-tracking datasets may satisfy a condition. Further, the method may include determining a plurality of layers of roads in the region based on the at least one overlapped sub-region. The method may also include determining a target map based on the plurality of layers of roads and the pose graph.

Classes IPC  ?

  • G01C 21/32 - Structuration ou formatage de données cartographiques
  • G06F 17/00 - TRAITEMENT ÉLECTRIQUE DE DONNÉES NUMÉRIQUES Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques

34.

SYSTEMS AND METHODS FOR CARPOOLING

      
Numéro d'application 17356560
Statut En instance
Date de dépôt 2021-06-24
Date de la première publication 2021-10-21
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Yu, Shibo

Abrégé

The present disclosure relates to systems and methods for carpooling. The systems and methods may include obtaining a service request and a sharing instruction initiated by a first user. The service request may include a first departure location and a first destination. The systems and methods may also include generating an information sharing link based on the service request and the sharing instruction. The systems and methods may further include transmitting the information sharing link to one or more second users. The information sharing link may be associated with an information sharing interface. The information sharing interface may be configured to use the information sharing link and guide at least one of the one or more second users to input a second departure location and a second destination.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 50/00 - Systèmes ou procédés spécialement adaptés à un secteur particulier d’activité économique, p.ex. aux services d’utilité publique ou au tourisme
  • G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p.ex. forme, nature, code
  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06F 16/955 - Recherche dans le Web utilisant des identifiants d’information, p.ex. des localisateurs uniformisés de ressources [uniform resource locators - URL]
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire

35.

WRITE OPERATION IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081156
Numéro de publication 2021/189306
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for performing a write operation of an object. The exemplary method includes receiving, by a proxy server, a request for the write operation and the object comprising application meta-data and object data, and sending, by the proxy server, the application meta-data to a meta server. The method further includes generating, by the meta sever, allocation data including placement meta-data recording disk volumes on a data server and positions within the disk volumes allocated to the object. The method also includes atomically writing, by the meta server, the application meta-data, the allocation data, and meta-logs of the request to a local store of the meta server. The method additional includes writing, by the data server, the object data to the allocated disk volumes at the allocated positions according to the allocation data.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

36.

DELETE OPERATION IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081160
Numéro de publication 2021/189308
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for performing a delete operation of an object. The exemplary method includes receiving, by a proxy server, a request for the delete operation, the request including an identification of the object. The method further includes sending, by the proxy server, a meta-data query to a primary meta server, the meta-data query including the identification of the object. The method also includes atomically performing, by the primary meta-server, update operations to meta-data associated with the identification of the object. The meta-data is stored in a local store of the primary meta server and includes allocation data of the object. The method additionally includes sending, by the primary meta server, the update operations to at least one backup meta server, performing, by the backup meta server, the update operations to corresponding backup meta-data stored in a local store of the backup meta server.

Classes IPC  ?

  • G06F 16/38 - Recherche caractérisée par l’utilisation de métadonnées, p.ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement

37.

DATA SERVER CRASH RECOVERY IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081169
Numéro de publication 2021/189314
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for recovering a data server crash. The exemplary method includes detecting a crash of a first data server and marking an affected volume group associated with the first data server read-only. The method further includes determining that the first data server is not back online within a predetermined time. The method also includes replacing the first data server with a second data server and recovering object data of the affected volume group to the second data server.

Classes IPC  ?

  • G06F 11/16 - Détection ou correction d'erreur dans une donnée par redondance dans le matériel

38.

READ OPERATION IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081164
Numéro de publication 2021/189311
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for performing a read operation of an object. The exemplary method includes receiving, by a proxy server, a request for the read operation, the request including an identification of the object. The method further includes requesting, by the proxy server, meta-data associated with the identification of the object from a meta server. The method also includes receiving, by the proxy server, the requested meta-data from the meta server, the meta-data including allocation data indicating disk volumes on a data server and positions within the disk volumes allocated to the object. The method additionally includes requesting, by the proxy server, object data from the data server according to the allocation data, and receiving, by the proxy server, the object data stored at the allocated positions in the allocated disk volumes on the data server.

Classes IPC  ?

  • G06F 16/00 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet
  • G06F 21/64 - Protection de l’intégrité des données, p.ex. par sommes de contrôle, certificats ou signatures

39.

META SERVER CRASH RECOVERY IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081166
Numéro de publication 2021/189312
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for recovering a meta server crash. The exemplary method includes detecting a crash of a first meta server, which is assigned to an object group. The method further includes determining that the first meta server is back online within a predetermined time. The method also includes retrieving local operation logs of the object group from a local store of the first meta server, determining missing operation logs by comparing the local operation logs and backup operation logs on a second meta server also assigned to the object group, and updating the local operation logs with the missing operation logs. The method additionally includes recovering additional meta-data associated with the object group based on the updated local operation logs.

Classes IPC  ?

  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
  • H04L 12/06 - Mécanismes ou circuits de réponse

40.

PROXY SERVER CRASH RECOVERY IN OBJECT STORAGE SYSTEM USING ENHANCED META STRUCTURE

      
Numéro d'application CN2020081178
Numéro de publication 2021/189315
Statut Délivré - en vigueur
Date de dépôt 2020-03-25
Date de publication 2021-09-30
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Shi, Mingya
  • Huang, Chunhua

Abrégé

Embodiments of the disclosure provide systems and methods for recovering a data server crash. The exemplary method includes detecting a crash of a proxy server. The method further includes looking up a request log in a meta server, the request log associated with a write request from the proxy server and looking up object meta-data associated with the write request in the meta server. The object meta-data includes allocation data. The method also includes obtaining object data from a data server according to the allocation data and validating the object data against the object meta-data. The method additionally includes deleting the request log associated with the write request from the meta server.

Classes IPC  ?

  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p.ex. des interruptions ou des opérations d'entrée–sortie

41.

MACHINE LEARNING SYSTEMS AND METHODS WITH SOURCE-TARGET ADAPTATION

      
Numéro d'application 16826084
Statut En instance
Date de dépôt 2020-03-20
Date de la première publication 2021-09-23
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Pengfei
  • Zhao, Sicheng
  • Wang, Guangzhi
  • Zhang, Shanghang
  • Gu, Yang
  • Li, Yaxian
  • Song, Zhichao
  • Hu, Runbo
  • Chai, Hua

Abrégé

Embodiments of the disclosure provide systems and methods for domain adaptation between a plurality of source domains and a target domain. The artificial intelligence method includes receiving labeled data from the plurality of source domains and unlabeled data from the target domain. The method further includes separately training, by a processor, a plurality of source classifiers each corresponding to a source domain using the labeled data received from the respective source domains. The method also includes selecting a subset of the labeled data received from each source domain based on a similarity between the selected labeled data and the unlabeled data of the target domain. The method additionally includes refining, by the processor, each source classifier using the selected subset of the labeled data, and predicting labels of the unlabeled data using the refined source classifiers.

Classes IPC  ?

  • G06N 20/00 - Apprentissage automatique
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

42.

SYSTEMS AND METHODS FOR DATA STORAGE IN THE EXPANSION OF OBJECT-BASED STORAGE SYSTEMS

      
Numéro d'application CN2020078114
Numéro de publication 2021/174515
Statut Délivré - en vigueur
Date de dépôt 2020-03-06
Date de publication 2021-09-10
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Li
  • Zhang, Yiming
  • Xu, Jiawei

Abrégé

Systems and methods for performing data storage in an object-based storage system that includes a first set of object storage devices (OSDs) are disclosed. An exemplary method may include expanding the object-based storage system by adding a second set of OSDs at a first time point. The method may also include receiving an object created at a second time point. The method may further include mapping the object to the OSDs of the expanded object-based storage system based on a chronological order between the first time point and the second time point.

Classes IPC  ?

  • H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison

43.

INTERACTIVE 3D POINT CLOUD MATCHING

      
Numéro d'application 17208769
Statut En instance
Date de dépôt 2021-03-22
Date de la première publication 2021-09-02
Propriétaire Beijing Didi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Zhang, Yan
  • Hou, Tingbo

Abrégé

Systems and methods are disclosed related to generating an interactive user interface that enables a user to move, rotate or otherwise edit 3D point cloud data in virtual 3D space to align or match point clouds captured from LiDAR scans prior to generation of a high definition map. A system may obtain point cloud data for two or more point clouds, render the point clouds for display in a user interface, then receive a user selection of one of the point clouds and commands from the user to move and/or rotate the selected point cloud. The system may adjust the displayed position of the selected point cloud relative to the other simultaneously displayed point cloud(s) in real time in response to the user commands, and store the adjusted point cloud position data for use in generating a new high definition map.

Classes IPC  ?

  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport
  • G01S 17/89 - Systèmes lidar, spécialement adaptés pour des applications spécifiques pour la cartographie ou l'imagerie

44.

SYSTEMS AND METHODS FOR DISPLAYING A POINT OF INTEREST

      
Numéro d'application CN2020076468
Numéro de publication 2021/168623
Statut Délivré - en vigueur
Date de dépôt 2020-02-24
Date de publication 2021-09-02
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhou, Tianyi
  • Yan, Xiaogang

Abrégé

The present disclosure relates to systems and methods for displaying a point of interest (POI). The methods may include determining a location of a terminal device; determining a target POI to be displayed based on the location of the terminal device; and displaying, via a user interface, a first window of the target POI including first information associated with the target POI, wherein the first window of the target POI is displayed with the target POI as an anchor point and does not overlap with a POI symbol of the target POI and a location symbol of the location of the terminal device.

Classes IPC  ?

  • G09B 29/00 - Cartes; Plans; Graphiques; Tracés, p.ex. tracés de routes
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire

45.

SYSTEMS AND METHODS FOR ALLOCATING A SERVICE REQUEST

      
Numéro d'application 17221710
Statut En instance
Date de dépôt 2021-04-02
Date de la première publication 2021-08-12
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Li, Junqin

Abrégé

A method for allocating a service request is provided. The method may include: receiving a service request from a terminal of a service requester, the service request being for a transport service and including a pick-up location and a drop-off location; determining a first service provider to provide the transport service; generating a first service order allocating the service request to the first service provider; receiving a request for navigation associated with the first service order at a second moment; generating route information based on a second location of the first service provider at the second moment and the pick-up location; determining whether to reallocate the service request to a second service provider based on the route information; further generating a second service order reallocating the service request to the second service provider; and transmitting signals to a terminal of the second service provider.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 50/30 - Transport; Communications

46.

SYSTEM AND METHOD FOR LANGUAGE-BASED SERVICE HAILING

      
Numéro d'application 16314455
Statut En instance
Date de dépôt 2017-07-31
Date de la première publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Gong, Fengmin
  • Li, Xiulin

Abrégé

Systems and methods are provided for language-based service hailing. Such system may comprise one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the computing system to obtain a plurality of speech samples, each speech sample comprising one or more words spoken in a language, train a neural network model with the speech samples to obtain a trained model for determining languages of speeches, obtain a voice input, identify at least one language corresponding to the voice based at least on applying the trained model to the voice input, and communicate a message in the identified language.

Classes IPC  ?

  • G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G10L 15/00 - Reconnaissance de la parole

47.

SYSTEM AND METHOD FOR ESTIMATING TRAVEL TIME AND DISTANCE

      
Numéro d'application 16314457
Statut En instance
Date de dépôt 2017-08-10
Date de la première publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Jindal, Ishan
  • Qin, Zhiwei
  • Chen, Xuewen

Abrégé

Systems and methods are provided for estimating travel time and distance. Such method may comprise obtaining a vehicle trip dataset comprising an origin, a destination, a time-of-day, a trip time, and a trip distance associated with each of a plurality of trips, and training a neural network model with the vehicle trip dataset to obtain a trained model. The neural network model may comprise a first module and a second module, the first module may comprise a first number of neuron layers, the first module may be configured to obtain the origin and the destination as first inputs to estimate a travel distance, the second module may comprise a second number of neuron layers, and the second module may be configured to obtain the information of a last layer of the first module and the time-of-day as second inputs to estimate a travel time.

Classes IPC  ?

  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06N 3/063 - Réalisation physique, c. à d. mise en oeuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurones utilisant des moyens électroniques
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

48.

SYSTEM AND METHOD FOR RIDE ORDER DISPATCHING

      
Numéro d'application 16314458
Statut En instance
Date de dépôt 2018-06-05
Date de la première publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Qin, Zhiwei
  • Tang, Xiaocheng
  • Wang, Zhaodong
  • Ye, Jieping

Abrégé

Systems and methods are provided for ride order dispatching. Such method may comprise obtaining information on a location of a vehicle and a time to input into a trained neural network algorithm; and based on a policy generated from the trained neural network algorithm, obtaining action information for the vehicle, the action information comprising: staying at a current position of the vehicle, re-positioning the vehicle, or accepting a ride order.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

49.

SYSTEMS AND METHODS FOR RECOMMENDING A PICKUP LOCATION

      
Numéro d'application 17227423
Statut En instance
Date de dépôt 2021-04-12
Date de la première publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhang, Long
  • Huang, Xiaodong
  • Zhang, Xudong

Abrégé

The present disclosure relates to systems and methods for determining a pickup location. The systems may perform the methods to receive a request or an intention for a first transportation service that is allowed to combine with a second transportation service from a terminal association with a service requester, the request or the intention including an origin location of the first transportation service and a destination of the first transportation service; obtain a plurality of candidate locations; for each of the plurality of candidate locations, determine a matching index value of the candidate location based on the origin location or the destination, wherein the matching index value is a probability of becoming a pickup location of the first transportation service; select one or more pickup locations from the plurality of candidate locations based on the matching index value; and transmit the one or more pickup locations to the terminal.

Classes IPC  ?

  • G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations

50.

SYSTEMS AND METHODS FOR OBJECT DETECTION IN IMAGE USING DETECTION MODEL

      
Numéro d'application CN2020073417
Numéro de publication 2021/146890
Statut Délivré - en vigueur
Date de dépôt 2020-01-21
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Jiang, Bo
  • Shi, Yue
  • Che, Zhengping
  • Tang, Jian

Abrégé

A method for performing object detection in an image using a detection model, comprising: generating, by at least one processor, a first feature map of the image based on a base network of the detection model; generating, by the at least one processor, a second feature map by applying a feature fusion network of the detection model to the first feature map. The feature fusion network includes layers structured in lattice of a plurality of branches and a plurality of levels and layers of at least one level are dilated. The method may further include detecting an object within the image based on the second feature map.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

51.

SYSTEMS AND METHODS FOR EMOTION RECOGNITION IN USER-GENERATED VIDEO(UGV)

      
Numéro d'application CN2020073998
Numéro de publication 2021/147084
Statut Délivré - en vigueur
Date de dépôt 2020-01-23
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Pengfei
  • Zhao, Sicheng
  • Ma, Yunsheng
  • Gu, Yang
  • Yang, Jufeng
  • Xing, Tengfei
  • Hu, Runbo
  • Chai, Hua

Abrégé

Disclosed herein are method and system for emotion recognition in a User-Generated Video (UGV). An exemplary method may include: receiving a UGV (S302); extracting visual representation (S304); estimating visual spatial attention and determining visual spatial attention weighted feature map (S306); estimating visual channel-wise attention and determining visual channel-wise attention weighted feature map (S308); estimating visual temporal attention and determining visual embedding based on the visual temporal attention (S310); extracting acoustic representation (S312); estimating acoustic temporal attention and determining audio embedding based on acoustic temporal attention (S314); concatenating visual embedding and audio embedding to construct semantic vector (S316); predicting emotion label based on semantic vector (S318).

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

52.

METHOD AND SYSTEM FOR VERIFYING VEHICLE

      
Numéro d'application CN2021072977
Numéro de publication 2021/147927
Statut Délivré - en vigueur
Date de dépôt 2021-01-21
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Shudong
  • Wang, Zhiheng
  • Xue, Taolue
  • Zhang, Tianming
  • Li, Jie
  • Meng, Hui
  • Chen, Tianyu
  • Dai, Guiting
  • Wu, Zhaohui
  • Zhou, Duoqing
  • Wang, Zhilong
  • Pei, Renwang
  • Liu, Xiaoyang
  • Peng, Kai
  • Yi, Junjie
  • Sun, Aiju
  • Jing, Haipeng
  • Wang, Xinyu

Abrégé

A method and system for verifying a vehicle. The method comprises: acquiring a vehicle image from a verified person (510), wherein the vehicle image comprises one or more types of vehicle information and vehicle environment background information; on the basis of one or more types of the vehicle information and the vehicle environment background information, determining qualification features of the vehicle image (520), wherein the qualification features of the vehicle image comprise feature data related to photography qualification of the vehicle image; and determining a vehicle verification result on the basis of the qualification features of the vehicle image (530).

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

53.

SYSTEMS AND METHODS FOR IMAGE PROCESSING

      
Numéro d'application CN2021073018
Numéro de publication 2021/147938
Statut Délivré - en vigueur
Date de dépôt 2021-01-21
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhao, Ningning
  • Zhang, Tianming
  • Guo, Yuanhao
  • Zhang, Xiubao
  • Shen, Haifeng

Abrégé

Systems and methods for image processing. The methods may include obtaining a first facial image (510); determining, based on a trained image quality determination model, a value of each of one or more quality features of the first facial image (520); determining, based on the one or more values of the one or more quality features, whether the first facial image satisfies a quality condition (530); obtaining a correction condition of the first facial image (540); obtaining a trained correction model, wherein the trained correction model includes a trained first generator (550); and in response to determining that the first facial image satisfies the quality condition, generating a second facial image that satisfies the correction condition by correcting the first facial image based on the trained correction model and the correction condition (560).

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

54.

ORDER ALLOCATION SYSTEM AND METHOD

      
Numéro d'application 17227439
Statut En instance
Date de dépôt 2021-04-12
Date de la première publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Hu, Tao
  • Cui, Wei
  • Yin, Jun
  • Hu, Zhilin
  • Ye, Yong
  • Yang, Ping
  • Deng, Xiaolin
  • Zhang, Yu
  • Liu, Yangbiao
  • Shi, Kuan
  • Cao, Zhongyu

Abrégé

The present disclosure relates to a system and a method of allocating orders. The system may include a non-transitory computer readable storage medium and a processor. The non-transitory computer may store an executable module. The processor may execute the executable module stored in the computer readable storage medium. The non-transitory computer readable storage medium may include a receiving unit (231) and an order allocation unit (361). The receiving unit (231) may receive order information and user information. The user information may include location information and/or time information. The order allocation unit (361) may allocate an order based on the location information and/or the time information. The method may include receiving order information and user information, wherein the order information and the user information may include location information and/or time information, and allocating an order based on the location information and/or the time information.

Classes IPC  ?

  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 50/30 - Transport; Communications

55.

SYSTEMS AND METHODS FOR VIDEO ANOMALY DETECTION USING MULTI-SCALE IMAGE FRAME PREDICTION NETWORK

      
Numéro d'application CN2020073932
Numéro de publication 2021/147055
Statut Délivré - en vigueur
Date de dépôt 2020-01-22
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Che, Zhengping
  • Wang, Xuanzhao
  • Yang, Ke
  • Jiang, Bo
  • Tang, Jian

Abrégé

Systems, methods, and computer-readable media for video anomaly detection using a learning model. The method may include receiving a video including a plurality of image frames captured by a camera, the plurality of image frames including a current image frame corresponding to a selected time point and a set of prior image frames corresponding to time points prior to the selected time point. The method may also include extracting spatial features from each prior image frame at different resolutions and predicting an estimated image frame in each resolution based on the spatial features of the set of prior image frames in that resolution. The method may further include predicting an estimated current image frame based on the estimated image frames in the different resolutions and detecting the video anomaly based on a difference between the captured current image frame and the estimated current image frame.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

56.

METHODS AND SYSTEMS FOR MONITORING AN ON-BOARD EQUIPMENT

      
Numéro d'application CN2020088970
Numéro de publication 2021/147208
Statut Délivré - en vigueur
Date de dépôt 2020-05-07
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tian, Xiaoming
  • Zhao, Shuo

Abrégé

The method for monitoring an on-board equipment (10,130) includes: acquiring a relevant parameter of the on-board equipment, the relevant parameter reflecting the working state of the on-board equipment; determining an operation instruction information related to the on-board equipment based on the relevant parameter and a preset threshold. The system for monitoring an on-board equipment provides a sampling resistor (20) between the power supply of the on-board equipment and a processing unit (40) that actually implements the function of the on-board equipment. The voltage across the sampling resistor is measured in real time as a basis for determining the working current of the on-board equipment.

Classes IPC  ?

  • B60H 1/00 - Dispositifs de chauffage, de refroidissement ou de ventilation
  • H04R 5/04 - Circuits
  • B60R 16/02 - Circuits électriques ou circuits de fluides spécialement adaptés aux véhicules et non prévus ailleurs; Agencement des éléments des circuits électriques ou des circuits de fluides spécialement adapté aux véhicules et non prévu ailleurs électriques

57.

LOW-VOLTAGE PROTECTION METHOD AND SYSTEM FOR VEHICLE-MOUNTED DEVICES

      
Numéro d'application CN2021072906
Numéro de publication 2021/147914
Statut Délivré - en vigueur
Date de dépôt 2021-01-20
Date de publication 2021-07-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tian, Xiaoming
  • Zhao, Shuo

Abrégé

A low-voltage protection method and system for vehicle-mounted devices. The low-voltage protection method comprises: acquiring a target protection voltage of a vehicle storage battery at the current time, the vehicle storage battery supplying power to one or more vehicle-mounted devices (130) after the vehicle is powered off, and the value of the target protection voltage being dynamically updated over time; comparing the target protection voltage with the real-time voltage of the vehicle storage battery; and determining an operation instruction related to the one or more vehicle-mounted devices (130) according to the comparison result.

Classes IPC  ?

  • B60R 16/033 - Circuits électriques ou circuits de fluides spécialement adaptés aux véhicules et non prévus ailleurs; Agencement des éléments des circuits électriques ou des circuits de fluides spécialement adapté aux véhicules et non prévu ailleurs électriques pour l'alimentation des sous-systèmes du véhicule en énergie électrique caractérisé par l'utilisation de cellules électriques ou de batteries
  • H02H 7/12 - Circuits de protection de sécurité spécialement adaptés pour des machines ou appareils électriques de types particuliers ou pour la protection sectionnelle de systèmes de câble ou ligne, et effectuant une commutation automatique dans le cas d'un chan pour redresseurs pour convertisseurs ou redresseurs statiques
  • B60R 16/02 - Circuits électriques ou circuits de fluides spécialement adaptés aux véhicules et non prévus ailleurs; Agencement des éléments des circuits électriques ou des circuits de fluides spécialement adapté aux véhicules et non prévu ailleurs électriques

58.

Speech communication system and method for improving speech intelligibility

      
Numéro d'application 16314526
Numéro de brevet 11227622
Statut Délivré - en vigueur
Date de dépôt 2018-12-06
Date de la première publication 2021-07-22
Date d'octroi 2022-01-18
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Zhang, Yi
  • Song, Hui
  • Sha, Yongtao
  • Qin, Si

Abrégé

A speech communication system for improving speech intelligibility may comprise one or more processors; and a memory storing instructions that, when executed by the one or more processors, cause the system to perform: determining a cutoff frequency based on an estimation of a spectrum of noise, wherein the cutoff frequency defines a noise dominant region of frequency; lifting a spectrum of a speech above the noise dominant region of frequency, wherein a frequency range of the spectrum of the speech increases by the cutoff frequency; and applying an adaptive filter to the speech to achieve echo cancelation, wherein the adaptive filter is controlled by a volume of the noise.

Classes IPC  ?

  • G10L 21/0364 - Amélioration de l'intelligibilité de la parole, p.ex. réduction de bruit ou annulation d'écho en changeant l’amplitude pour améliorer l'intelligibilité
  • G10L 15/08 - Classement ou recherche de la parole
  • G10L 21/0232 - Traitement dans le domaine fréquentiel

59.

SYSTEMS AND METHODS FOR DETECTING LANE MARKINGS FOR AUTONAMOUS DRIVING

      
Numéro d'application CN2020071658
Numéro de publication 2021/142564
Statut Délivré - en vigueur
Date de dépôt 2020-01-13
Date de publication 2021-07-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Shiying
  • Xia, Xuezhi

Abrégé

A system and method for detecting lane markings in a high-definition map is disclosed. An exemplary method includes receiving an image of the high-definition map that includes a road with at least one lane marking, and extracting road patches from the image, each road patch encompassing a section of the road. The method further includes transforming sub-images each containing a road patch to adjust an orientation of the road patch in the sub-image. The method also includes segmenting the transformed sub-images using a learning network and detecting the lane marking of the road based on the segmentation results of the transformed sub-images.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales

60.

METHODS AND SYSTEMS FOR INFORMATION RECOMMENDATION

      
Numéro d'application 17187744
Statut En instance
Date de dépôt 2021-02-27
Date de la première publication 2021-07-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Jiang, Yue

Abrégé

The embodiments of the present disclosure may disclose methods and systems for information recommendation. The method for information recommendation method may include: determining a violation count corresponding to a violation behavior in historical driving behavior of a driver; determining, based on the violation behavior and its corresponding violation count, information to be recommended; and sending the information to be recommended to a driver terminal of the driver.

Classes IPC  ?

  • B60W 40/09 - Style ou comportement de conduite
  • B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention

61.

EFFICIENT NETWORK-WIDE SIGNAL COORDINATION WITH MULTIPLE CYCLE LENGTHS AND TRAJECTORY DATA

      
Numéro d'application CN2020072132
Numéro de publication 2021/142642
Statut Délivré - en vigueur
Date de dépôt 2020-01-15
Date de publication 2021-07-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lloret Batlle, Roger
  • Wang, Zihao
  • Liu, Minjun
  • Zheng, Jianfeng
  • Liu, Xianghong

Abrégé

Systems and methods for efficient network-wide signal coordination with multiple cycle lengths and trajectory data. A method may include determining a set of bandwidths for the traffic network based on green times of traffic lights in the traffic network (S710). The method may also include normalizing the set of bandwidths (S720). The method may further include weighting the normalized set of bandwidths (S730). The method may additionally include determining lengths of the green times that maximize a sum of the weighted normalized bandwidths subject to a plurality of predetermined constraints (S750). The method may also include controlling the green times of the traffic lights in the traffic network according to the determined lengths (S760).

Classes IPC  ?

  • G08G 1/08 - Commande des signaux de trafic selon le nombre ou la vitesse détectés des véhicules

62.

METHOD AND SYSTEM FOR MAN-MACHINE INTERACTION

      
Numéro d'application CN2021070720
Numéro de publication 2021/139737
Statut Délivré - en vigueur
Date de dépôt 2021-01-07
Date de publication 2021-07-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Sun, Jianwei
  • Zhao, Shuaijiang

Abrégé

Disclosed in an embodiment of the present invention is a method for man-machine interaction. The method for man-machine interaction comprises: extracting an associated feature of a target object on the basis of an interaction instruction directed at the target object, the associated feature being related to at least one of the interaction instruction and historical data of the target object; determining a response policy for the target object by processing the associated feature, the response policy being related to at least one of response content, a response style and a response emotion; and determining a response message for the target object on the basis of the response policy.

Classes IPC  ?

  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 

63.

TARGET TASK EXECUTION VEHICLE DETERMINATION METHOD, AND SYSTEM

      
Numéro d'application CN2021070721
Numéro de publication 2021/139738
Statut Délivré - en vigueur
Date de dépôt 2021-01-07
Date de publication 2021-07-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Hong, Huiting
  • Guo, Hantao
  • Yang, Xiaoqing
  • Li, Zang

Abrégé

A target task execution vehicle determination method and a system. The method comprises: receiving a task request comprising position information of a user (510); determining a road segment set on the basis of the position information, the road segment set comprising multiple road segments, and the multiple road segments comprising a target road segment and at least one associated road segment having a linkage relationship with the target road segment (520); acquiring road segment representation information corresponding to each of the multiple road segments in the road segment set (530), wherein the road segment representation information is generated by a road segment feature extraction model; determining, on the basis of the road segment representation information corresponding to each of the multiple road segments in the road segment set, at least one candidate road segment corresponding to the target road segment (540); and determining, from candidate vehicles located at the at least one candidate road segment, a target task execution vehicle corresponding to the task request (550).

Classes IPC  ?

  • G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p.ex. requêtes spatio-temporelles

64.

METHOD AND SYSTEM FOR DISPLAYING INFORMATION

      
Numéro d'application CN2021070758
Numéro de publication 2021/139743
Statut Délivré - en vigueur
Date de dépôt 2021-01-08
Date de publication 2021-07-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Li, Wei
  • Liu, Mu

Abrégé

A method for displaying information. The method comprises: displaying, on a screen display region, at least one calibration location of a journey (510); and displaying, on the screen display region, a target attribute corresponding to each calibration location in the at least one calibration location (520), displaying modes of the target attribute being related to a calibration display position of the at least one calibration location on the screen display region, wherein the displaying modes of the target attribute comprise: a displaying direction of the target attribute with respect to a corresponding calibration location, and a displaying distance of the target attribute with respect to the corresponding calibration location. The target attribute corresponding to the calibration location is displayed in the displaying modes of the target attribute, so that information shielding of the target attribute of at least one calibration location can be avoided, the integrity of information display is improved, and convenience is brought to a user to view the map when the user goes out.

Classes IPC  ?

  • G06F 16/957 - Optimisation de la navigation, p.ex. mise en cache ou distillation de contenus

65.

Systems and methods for recalling points of interest using a tagging model

      
Numéro d'application 17192912
Numéro de brevet 11093531
Statut Délivré - en vigueur
Date de dépôt 2021-03-05
Date de la première publication 2021-07-08
Date d'octroi 2021-08-17
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Hu, Juan
  • Chen, Huan
  • Song, Qi
  • Ma, Li

Abrégé

The present disclosure relates to systems and methods for recalling one or more POIs. The systems and methods may receive a query inputted by a user via a terminal and determine one or more terms by processing the received query. The systems and methods may further label the one or more terms using a trained tagging model. The systems and methods may determine one or more POs based on the labeled one or more terms, and display the one or more terms on the terminal.

Classes IPC  ?

  • G06F 16/29 - Bases de données d’informations géographiques
  • G06F 16/242 - Formulation des requêtes
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

66.

METHOD AND SYSTEM FOR IDENTIFYING ABNORMAL STAY OF VEHICLE

      
Numéro d'application CN2020127694
Numéro de publication 2021/135653
Statut Délivré - en vigueur
Date de dépôt 2020-11-10
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhang, Tengjian
  • Chen, Ao

Abrégé

A method for identifying abnormal stay of a vehicle (150). The method comprises the following steps: obtaining real-time stay data of the vehicle (150) (501); and determining, on the basis of the real-time stay data, whether the vehicle (150) is in an abnormal stay state using an identification model (503), wherein the identification model comprises a machine learning model obtained by training historical stay data of a plurality of historical vehicles (150).

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

67.

SYSTEM AND METHOD FOR BIDDING-BASED RIDESHARING

      
Numéro d'application CN2020141487
Numéro de publication 2021/136399
Statut Délivré - en vigueur
Date de dépôt 2020-12-30
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for bidding-based ridesharing are described. One exemplary method includes: obtaining, by a computing device of a ridesharing platform from a terminal device, a trip request for a rider, the trip request comprising an origin, a destination, and a price; identifying, by the computing device, a plurality of driver candidates to match with the trip request; determining, by the computing device, an acceptance probability for each of the plurality of driver candidates to accept the trip request; determining, by the computing device based on the plurality of determined acceptance probabilities, an estimated waiting time and an estimated matching probability for the trip request; and transmitting at least one of the estimated waiting time and the estimated matching probability to the terminal device.

Classes IPC  ?

  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations

68.

GENERATION OF TRAINING DATA FOR VERBAL HARASSMENT DETECTION

      
Numéro d'application US2020067303
Numéro de publication 2021/138316
Statut Délivré - en vigueur
Date de dépôt 2020-12-29
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, one or more heuristics can be automatically generated using a small dataset of segments previously labeled by one or more domain experts. The generated one or more heuristics along with one or more patterns can be used to assign training labels to a large unlabeled dataset of segments. A subset of segments representing an occurrence of verbal harassment can be selected using the assigned training labels. Randomly selected segments can be used as being indicative of a non-occurrence of verbal harassment. The selected subset of segments and randomly selected segments can be used to train one or more machine learning models for verbal harassment detection.

Classes IPC  ?

69.

TRAINING MECHANISM OF VERBAL HARASSMENT DETECTION SYSTEMS

      
Numéro d'application US2020067308
Numéro de publication 2021/138319
Statut Délivré - en vigueur
Date de dépôt 2020-12-29
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, lower quality, large scale training data can be automatically generated by automatic labeling. The generated training data can be used to pre-train a machine learning model. For instance, the model can be a model for detection of verbal harassment. Parameters of the pre-trained model can be refined or updated using another one or more higher-quality sets of training data, with which the model can be subsequently trained.

Classes IPC  ?

  • G10L 17/26 - Reconnaissance de caractéristiques spéciales de voix, p.ex. pour utilisation dans les détecteurs de mensonge; Reconnaissance des voix d’animaux
  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G10L 15/10 - Classement ou recherche de la parole utilisant des mesures de distance ou de distorsion entre la parole inconnue et les gabarits de référence
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G06N 20/00 - Apprentissage automatique

70.

REAL-TIME VERBAL HARASSMENT DETECTION SYSTEM

      
Numéro d'application US2020067309
Numéro de publication 2021/138320
Statut Délivré - en vigueur
Date de dépôt 2020-12-29
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, a verbal harassment detection system may use machine learning models to detect verbal harassment in real-time or near real-time. The system may receive an audio segment comprising a portion of audio captured by a microphone located within a vehicle. Further, the system may convert the audio segment to a text segment. The system may provide at least the text segment to a prediction model associated with verbal harassment detection to obtain a harassment prediction. Further, the system may provide the audio segment to an emotion detector to obtain a detected emotion of a speaking user that made an utterance included in the audio segment. Based at least in part on the harassment prediction and the detected emotion, the system may automatically, and without user intervention, determine whether a user is being harassed.

Classes IPC  ?

  • G10L 17/26 - Reconnaissance de caractéristiques spéciales de voix, p.ex. pour utilisation dans les détecteurs de mensonge; Reconnaissance des voix d’animaux
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
  • G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
  • G06Q 50/30 - Transport; Communications
  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G06N 20/00 - Apprentissage automatique

71.

PATTERN-BASED ADAPTATION MODEL FOR DETECTING CONTACT INFORMATION REQUESTS IN A VEHICLE

      
Numéro d'application US2020067336
Numéro de publication 2021/138341
Statut Délivré - en vigueur
Date de dépôt 2020-12-29
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

Certain aspects disclosed herein improve on inappropriate behavior detection by applying machine-learning techniques to identify inappropriate behavior in real-time, or near real-time. For example, one or more patterns can be generated that represent possible incidences of inappropriate behavior, such as a request for a user'scontact information. Audio segments captured by a wireless device in a vehicle can be converted into text using an automatic speech recognition system, and an adaptation model can apply the pattern(s) to the text to determine portions of the text that match at least one pattern and portions of the text that do not match any pattern, with the adaptation model labeling the text portions accordingly. The adaptation model can then pre-train a text classification model with the labeled text portions. The adaptation model obtains manually labeled data points and re-trains or updates the pre-trained text classification model using the manually labeled data points.

Classes IPC  ?

  • B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
  • B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
  • B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
  • G06N 20/00 - Apprentissage automatique
  • B60W 50/00 - COMMANDE CONJUGUÉE DE PLUSIEURS SOUS-ENSEMBLES D'UN VÉHICULE, DE FONCTION OU DE TYPE DIFFÉRENTS; SYSTÈMES DE COMMANDE SPÉCIALEMENT ADAPTÉS AUX VÉHICULES HYBRIDES; SYSTÈMES D'AIDE À LA CONDUITE DE VÉHICULES ROUTIERS, NON LIÉS À LA COMMANDE D'UN SOUS-ENSEMBLE PARTICULIER - Détails des systèmes d'aide à la conduite des véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier

72.

SYSTEM AND METHOD FOR ALTERNATIVE DESTINATION RECOMMENDATION ON RIDESHARING PLATFORMS

      
Numéro d'application CN2020141946
Numéro de publication 2021/136476
Statut Délivré - en vigueur
Date de dépôt 2020-12-31
Date de publication 2021-07-08
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recommending one or more alternative destinations are provided. One of the methods comprises: receiving, by a computing device of a ridesharing platform from a terminal device, a trip request that comprises an origin and a destination; classifying the trip request into one of the plurality of trip purpose categories based at least on the origin and the destination of the trip request, the rider's information, and a machine-learning classifier trained to predict the one trip purpose category of the trip request; in response to the one trip purpose category belonging to a preset group of trip purpose categories, determining one or more alternative destinations for the trip request; and sending to the terminal device, the one or more alternative destinations.

Classes IPC  ?

  • G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

73.

SYSTEM AND METHOD FOR DETERMINING SERVICE LEVEL METRICS IN BIDDING-BASED RIDESHARING

      
Numéro d'application 17062345
Statut En instance
Date de dépôt 2020-10-02
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for bidding-based ridesharing are described. One exemplary method includes: obtaining a trip request for a rider, the trip request comprising a price; identifying a list of driver candidates to match with the trip request; determining a list of dispatch waiting times corresponding to the list of driver candidates; determining a list of acceptance probabilities corresponding to the list of driver candidates based on a machine-learning classifier; and determining an estimated waiting time or an estimated matching probability for the trip request based on the list of dispatch waiting times and the list of acceptance probabilities.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

74.

SYSTEMS AND METHODS FOR HEAT MANAGEMENT OF A BATTERY PACK

      
Numéro d'application CN2019127542
Numéro de publication 2021/127882
Statut Délivré - en vigueur
Date de dépôt 2019-12-23
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Dai, Feng

Abrégé

Embodiments of the disclosure provide systems and methods for performing heat management of a battery pack. An exemplary system may include a communication interface configured to receive from sensors thermal data associated with a plurality of cells of the battery pack. The system may also include at least one processor coupled to the communication interface. The at least one processor is configured to determine a first parameter indicative of a condition of each of the plurality of cells based on the thermal data. Moreover, the at least one processor is further configured to determine a first variation in the first parameters and adjust a flow direction of a temperature control substance applied to the battery pack based on a comparison between the first variation and a first predetermined threshold.

Classes IPC  ?

75.

SYSTEMS AND METHODS FOR PERFORMING A HEALTH EVALUATION OF A BATTERY SYSTEM

      
Numéro d'application CN2019128521
Numéro de publication 2021/128116
Statut Délivré - en vigueur
Date de dépôt 2019-12-26
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Yang, Lei

Abrégé

Embodiments of the disclosure provide systems and methods for performing a health evaluation of a battery system. An exemplary system may include a communication interface configured to receive operating data of the battery system acquired from one or more vehicles. The system may also include at least one processor coupled to the communication interface. The at least one processor is configured to determine a parameter indicative of a charging characteristic of the battery system based on the operating data. Moreover, the at least one processor is further configured to determine a trend of the parameter over a predetermined time period and evaluate a health of the battery system based on the trend of the parameter.

Classes IPC  ?

  • G01R 31/392 - Détermination du vieillissement ou de la dégradation de la batterie, p.ex. état de santé

76.

SYSTEMS AND METHODS FOR CONTROLLING TRAFFIC SIGNALS

      
Numéro d'application CN2019129541
Numéro de publication 2021/128365
Statut Délivré - en vigueur
Date de dépôt 2019-12-28
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Liu, Minjun
  • Zheng, Jianfeng
  • Liu, Xianghong

Abrégé

A method for controlling traffic signals may include obtaining intersection information associated with a plurality of intersections of a route (510). The method may also include determining traffic parameters based on the intersection information and a traffic model (520). The traffic parameters may be used to control traffic signals of the plurality of intersections. The traffic model may be configured to take into account at least one of: (a) a spillover situation associated with congestion at red light of each of the plurality of intersections, (b) an arterial green bandwidth of the whole route in combination with a link green bandwidth between two of the plurality of intersections, and (c) a vehicle arrival distribution in the route.

Classes IPC  ?

  • G08G 1/081 - Commande des signaux de trafic plusieurs carrefours dépendant d'une commande commune
  • G08G 1/07 - Commande des signaux de trafic

77.

LENS ANGLE CALIBRATION SYSTEM AND METHOD

      
Numéro d'application CN2020134568
Numéro de publication 2021/129380
Statut Délivré - en vigueur
Date de dépôt 2020-12-08
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Luan, Beiou

Abrégé

Provided are a lens calibration system (10) and method. The lens calibration system (10) comprises a lens non-reference measurement level device (100) and a lens angle adjustment device (200); the lens non-reference measurement level device (100) is used for measuring the pitch angle of the lens (102), and the lens angle adjustment device (200) is used for connecting with the lens (102) so as to adjust the pitch angle of the lens (102).

Classes IPC  ?

  • G01C 9/32 - Moyens pour faciliter l'observation de la position de la bulle, p.ex. moyens d'éclairage
  • F16M 11/04 - Moyens pour la fixation des appareils; Moyens permettant le réglage des appareils par rapport au banc
  • F16M 11/12 - Moyens pour la fixation des appareils; Moyens permettant le réglage des appareils par rapport au banc permettant la rotation dans plus d'une direction

78.

NETWORK POSITIONING METHOD AND SYSTEM

      
Numéro d'application CN2020138463
Numéro de publication 2021/129634
Statut Délivré - en vigueur
Date de dépôt 2020-12-23
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Shu, Weihuan
  • Lin, Yu
  • Yin, Buyi
  • Feng, Zhaoyang
  • Ma, Li
  • Shi, Lichen
  • Chai, Hua

Abrégé

Disclosed is a network positioning method. The method comprises: acquiring a target positioning request; acquiring first information associated with the target positioning request, wherein the first information at least comprises a signal feature associated with the target positioning request; determining, on the basis of the first information, a preset point associated with the target positioning request; generating at least one first feature graph on the basis of the preset point; determining at least one second feature graph on the basis of the at least one first feature graph; and processing the at least one second feature graph to acquire a target position, wherein the processing at least comprises processing the at least one second feature graph on the basis of a convolution kernel.

Classes IPC  ?

  • H04W 64/00 - Localisation d'usagers ou de terminaux pour la gestion du réseau, p.ex. gestion de la mobilité
  • G06N 3/08 - Méthodes d'apprentissage

79.

VEHICLE ALLOCATION METHOD AND APPARATUS, DEVICE AND COMPUTER-READABLE STORAGE MEDIUM

      
Numéro d'application CN2020139589
Numéro de publication 2021/129831
Statut Délivré - en vigueur
Date de dépôt 2020-12-25
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Meng, Gesi
  • Li, Min
  • Lv, Wei
  • Wang, Shanren
  • Xue, Miao
  • Zhao, Congjun
  • An, Kang
  • Wang, Yu

Abrégé

A vehicle allocation method and apparatus, a device and a computer-readable storage medium, the vehicle allocation method comprising executing the following steps by means of a processor: acquiring associated feature data of a target vehicle rental point, wherein the associated feature data comprises related feature data of at least one among the target vehicle rental point and a target vehicle rental region, and the target vehicle rental region is a region related to the target vehicle rental point (410); processing the associated feature data of the target vehicle rental point on the basis of a predictive model to determine an associated vehicle demand of the target vehicle rental point, wherein the associated vehicle demand is a demand related to the target vehicle rental point for vehicles in the target vehicle rental region (420); and determining a vehicle scheduling plan of the target vehicle rental point at least on the basis of the associated vehicle demand (430). By means of using a predictive model to process associated feature data of a target vehicle rental point that affects a vehicle allocation service, an efficient vehicle allocation plan that is more reasonable and that meets multiple demands is provided.

Classes IPC  ?

  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix

80.

SYSTEM AND METHOD FOR ALTERNATIVE DESTINATION RECOMMENDATION ON RIDESHARING PLATFORMS

      
Numéro d'application 17035104
Statut En instance
Date de dépôt 2020-09-28
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recommending one or more alternative destinations are provided. One of the methods comprises: receiving, by a computing device of a ridesharing platform from a terminal device, a trip request that comprises an origin and a destination; classifying the trip request into one of the plurality of trip purpose categories based at least on the origin and the destination of the trip request, the rider's information, and a machine-learning classifier trained to predict the one trip purpose category of the trip request; in response to the one trip purpose category belonging to a preset group of trip purpose categories, determining one or more alternative destinations for the trip request; and sending to the terminal device, the one or more alternative destinations.

Classes IPC  ?

  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 50/30 - Transport; Communications
  • G06N 20/00 - Apprentissage automatique
  • G06N 3/08 - Méthodes d'apprentissage
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués

81.

SYSTEM AND METHOD FOR RANKING IN ALTERNATIVE DESTINATION RECOMMENDATION ON RIDESHARING PLATFORMS

      
Numéro d'application 17036941
Statut En instance
Date de dépôt 2020-09-29
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking alternative destination recommendations are provided. One of the methods comprises: receiving a trip request comprising an origin and an initial destination; determining one or more alternative destinations based on one or more features of the initial destination; for each of the alternative destinations, determining, based on a machine-learning classifier, a probability for the rider to select a trip option from the origin to the alternative destination, where the machine-learning classifier is trained to accept input comprising one or more attributes of the trip option and generate output comprising the probability for the rider to select the alternative destination; generating a score for each of the alternative destinations based at least on the probability; and ranking, by the computing device of the ridesharing platform, the alternative destinations based on the scores.

Classes IPC  ?

  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 50/30 - Transport; Communications
  • G06N 20/00 - Apprentissage automatique

82.

SYSTEM AND METHOD FOR BIDDING-BASED RIDESHARING

      
Numéro d'application 17061611
Statut En instance
Date de dépôt 2020-10-02
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for bidding-based ridesharing are described. One exemplary method includes: obtaining, by a computing device of a ridesharing platform from a terminal device, a trip request for a rider, the trip request comprising an origin, a destination, and a price; identifying, by the computing device, a plurality of driver candidates to match with the trip request; determining, by the computing device, an acceptance probability for each of the plurality of driver candidates to accept the trip request; determining, by the computing device based on the plurality of determined acceptance probabilities, an estimated waiting time and an estimated matching probability for the trip request; and transmitting at least one of the estimated waiting time and the estimated matching probability to the terminal device.

Classes IPC  ?

  • G06Q 30/08 - Ventes aux enchères
  • G06Q 50/30 - Transport; Communications
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06N 20/00 - Apprentissage automatique

83.

SYSTEM AND METHOD FOR RECOMMENDING BIDDING BUNDLE OPTIONS IN BIDDING-BASED RIDESHARING

      
Numéro d'application 17062386
Statut En instance
Date de dépôt 2020-10-02
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Tang, Liang
  • Tan, Bo

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for bidding-based ridesharing are described. One exemplary method includes: obtaining a price range of a trip request for a rider; determining a plurality of trip setting candidates based on the trip request, and a plurality of price candidates based on the price range; generating a plurality of bidding bundle option candidates based on a plurality of combinations of the plurality of trip setting candidates and the plurality of price candidates; determining, based on a trained machine-learning classifier, a selection probability for the rider to select each of the plurality of bidding bundle option candidates; and ranking the plurality of bidding bundle option candidates based on corresponding probabilities; and transmitting one or more of the plurality of bidding bundle option candidates with top selection probabilities to a terminal device associated with the rider.

Classes IPC  ?

  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06N 3/08 - Méthodes d'apprentissage
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques

84.

REAL-TIME VERBAL HARASSMENT DETECTION SYSTEM

      
Numéro d'application 17134912
Statut En instance
Date de dépôt 2020-12-28
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, a verbal harassment detection system may use machine learning models to detect verbal harassment in real-time or near real-time. The system may receive an audio segment comprising a portion of audio captured by a microphone located within a vehicle. Further, the system may convert the audio segment to a text segment. The system may provide at least the text segment to a prediction model associated with verbal harassment detection to obtain a harassment prediction. Further, the system may provide the audio segment to an emotion detector to obtain a detected emotion of a speaking user that made an utterance included in the audio segment. Based at least in part on the harassment prediction and the detected emotion, the system may automatically, and without user intervention, determine whether a user is being harassed.

Classes IPC  ?

  • G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
  • G10L 25/27 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G06N 20/00 - Apprentissage automatique
  • B60R 11/02 - Autres aménagements pour tenir ou monter des objets pour postes radio, de télévision, téléphones, ou objets similaires; Disposition de leur commande

85.

GENERATION OF TRAINING DATA FOR VERBAL HARASSMENT DETECTION

      
Numéro d'application 17135015
Statut En instance
Date de dépôt 2020-12-28
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, one or more heuristics can be automatically generated using a small dataset of segments previously labeled by one or more domain experts. The generated one or more heuristics along with one or more patterns can be used to assign training labels to a large unlabeled dataset of segments. A subset of segments representing an occurrence of verbal harassment can be selected using the assigned training labels. Randomly selected segments can be used as being indicative of a non-occurrence of verbal harassment. The selected subset of segments and randomly selected segments can be used to train one or more machine learning models for verbal harassment detection.

Classes IPC  ?

  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G06N 20/00 - Apprentissage automatique
  • G06N 3/08 - Méthodes d'apprentissage
  • G10L 15/08 - Classement ou recherche de la parole
  • G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole

86.

PATTERN-BASED ADAPTATION MODEL FOR DETECTING CONTACT INFORMATION REQUESTS IN A VEHICLE

      
Numéro d'application 17135338
Statut En instance
Date de dépôt 2020-12-28
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

Certain aspects disclosed herein improve on inappropriate behavior detection by applying machine-learning techniques to identify inappropriate behavior in real-time, or near real-time. For example, one or more patterns can be generated that represent possible incidences of inappropriate behavior, such as a request for a user's contact information. Audio segments captured by a wireless device in a vehicle can be converted into text using an automatic speech recognition system, and an adaptation model can apply the pattern(s) to the text to determine portions of the text that match at least one pattern and portions of the text that do not match any pattern, with the adaptation model labeling the text portions accordingly. The adaptation model can then pre-train a text classification model with the labeled text portions. The adaptation model obtains manually labeled data points and re-trains or updates the pre-trained text classification model using the manually labeled data points.

Classes IPC  ?

  • G10L 15/08 - Classement ou recherche de la parole
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p.ex. dialogue homme-machine 

87.

TRAINING MECHANISM OF VERBAL HARASSMENT DETECTION SYSTEMS

      
Numéro d'application 17135651
Statut En instance
Date de dépôt 2020-12-28
Date de la première publication 2021-07-01
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Lyu, Ying
  • Han, Kun

Abrégé

In some cases, lower quality, large scale training data can be automatically generated by automatic labeling. The generated training data can be used to pre-train a machine learning model. For instance, the model can be a model for detection of verbal harassment. Parameters of the pre-trained model can be refined or updated using another one or more higher-quality sets of training data, with which the model can be subsequently trained.

Classes IPC  ?

  • G10L 15/06 - Création de gabarits de référence; Entraînement des systèmes de reconnaissance de la parole, p.ex. adaptation aux caractéristiques de la voix du locuteur
  • G10L 15/08 - Classement ou recherche de la parole
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G10L 25/63 - Techniques d'analyses de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour estimer un état émotionnel
  • G06N 20/00 - Apprentissage automatique
  • G06N 3/08 - Méthodes d'apprentissage

88.

METHOD AND SYSTEM FOR PROVIDING LOCATION POINT RECOMMENDATION FOR USER

      
Numéro d'application CN2020138166
Numéro de publication 2021/129585
Statut Délivré - en vigueur
Date de dépôt 2020-12-22
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • He, Minghui
  • Yang, Jiantao
  • Shu, Weihuan
  • Ma, Li
  • Zhang, Xudong

Abrégé

A method and a system for providing location point recommendation for a user. The method comprises: acquiring at least one corresponding candidate location point on the basis of a reference position of a user (510); acquiring feature data corresponding to each candidate location point among the at least one candidate location point (520); and on the basis of the feature data of the at least one candidate location point, determining, from the at least one candidate location point, a target location point for the user to take a car (530). The present invention can comprehensively consider service resources, such as the service request ends, service provision ends and orders around each candidate location point, so that a rational candidate location point can be selected for a service request end, satisfying the travel requirements of more traveling users while ensuring the travel destination of the current user, saving service resources, and increasing the service efficiency.

Classes IPC  ?

  • G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p.ex. requêtes spatio-temporelles
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 50/30 - Transport; Communications

89.

METHOD AND SYSTEM FOR DETERMINING VEHICLE-BOARDING LOCATION

      
Numéro d'application CN2020138173
Numéro de publication 2021/129586
Statut Délivré - en vigueur
Date de dépôt 2020-12-22
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Zhang, Xudong

Abrégé

A method and system for determining a vehicle-boarding location. The method comprises: acquiring at least one initial vehicle-boarding location of a user (402); detecting whether the at least one initial vehicle-boarding location is located in a regulation-violating road section (404); if the at least one initial vehicle-boarding location is located in a regulation-violating road section, then determining a target vehicle-boarding location for the user (406); and displaying, on the basis of a preset rule, the target vehicle-boarding location and the initial vehicle-boarding location located in the regulation-violating road section (408). By redetermining the target vehicle-boarding location for the user when the initial vehicle-boarding location is located in a regulation-violating road section, thus recommending a reasonable final vehicle-boarding location to the user, ensured is that the user boards a vehicle safely and that the driver smoothly completes passenger pick-up.

Classes IPC  ?

  • G06F 16/9537 - Recherche à dépendance spatiale ou temporelle, p.ex. requêtes spatio-temporelles

90.

VEHICLE VERIFICATION METHOD AND SYSTEM

      
Numéro d'application CN2020138862
Numéro de publication 2021/129712
Statut Délivré - en vigueur
Date de dépôt 2020-12-24
Date de publication 2021-07-01
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xue, Taolue
  • Zhang, Tianming
  • Wang, Zhiheng
  • Wang, Shudong
  • Li, Jie
  • Meng, Hui
  • Chen, Tianyu
  • Dai, Guiting
  • Wu, Zhaohui
  • Zhou, Duoqing

Abrégé

A vehicle verification method and system. The method comprises: receiving, from a client, vehicle verification information related with a vehicle to be verified (step 510), wherein the vehicle verification information comprises a plurality of images obtained by the client by means of a camera device, and the vehicle verification information responding to at least one vehicle verification instruction; and determining a vehicle verification result on the basis of the vehicle verification information (step 520).

Classes IPC  ?

  • G01N 21/84 - Systèmes spécialement adaptés à des applications particulières

91.

DYNAMIC CARPOOL DISCOUNT DETERMINATION ON RIDESHARING PLATFORMS

      
Numéro d'application 17082607
Statut En instance
Date de dépôt 2020-10-28
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Tan, Bo

Abrégé

Dynamic carpool discounts may be determined on ridesharing platforms. Trip information of a first rider in a carpool trip on a ridesharing platform may be obtained. A matching probability of matching the carpool trip with at least one second rider may be determined. An upfront discount and a fallback discount may be determined based on a matching probability and the trip information. It may be determined whether the at least one second rider matches with the carpool trip during the carpool trip. A final price for the first rider may be determined based on the upfront discount in response to determining that the carpool trip matches with the at least one second rider. A final price for the first rider may be determined based on the fallback discount in response to determining that the carpool trip does not match with the at least one second rider.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06Q 50/30 - Transport; Communications
  • G06N 7/00 - Systèmes de calculateurs basés sur des modèles mathématiques spécifiques
  • G06N 20/00 - Apprentissage automatique

92.

CONFIGURATION METHOD AND SYSTEM OF INDICATION DEVICE FOR DRIVER-PASSENGER MATCHING

      
Numéro d'application 17192832
Statut En instance
Date de dépôt 2021-03-04
Date de la première publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Pengcheng
  • Mu, Yongqing
  • Ma, Qiang
  • Li, Chuanlan
  • Sun, Zhaozhi
  • Guo, Quansheng
  • Qian, Lu

Abrégé

Embodiments of the disclosure provide a method for configuring indication information for transportation services. The method includes receiving a first transportation request which includes a first passenger pick-up point located in a preset geographical area, and the first transportation request matches a first vehicle. The method also includes receiving a second transportation request which includes a second passenger pick-up point located in the preset geographical area, and the second transportation request matches a second vehicle. The method further includes generating first indication information for the first transportation request and second indication information for the second transportation request based on a time difference between a first estimated time for the first vehicle to arrive in the preset geographical area and a second estimated time for the second vehicle to arrive in the preset geographical area.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G01C 21/34 - Recherche d'itinéraire; Guidage en matière d'itinéraire
  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
  • H04W 4/02 - Services utilisant des informations de localisation
  • G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués

93.

SYSTEM, METHOD, AND STORAGE MEDIUM FOR DISTRIBUTED DATA MANAGEMENT

      
Numéro d'application 16720320
Statut En instance
Date de dépôt 2019-12-19
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Zhai, Jinjian

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for decentralized data management are provided. One of the methods includes: instructing, by an operator, a client to obtain data from a data source, wherein the operator is not allowed to directly obtain data from the data source; receiving, by the operator, encrypted data from the client, wherein the encrypted data is generated by the client based on the obtained data from the data source and an encryption key of an authorized data consumer; and storing, by the operator, the encrypted data into a data store for the authorized data consumer to access and decrypt, wherein the operator is not allowed to read the saved encrypted data from the data store.

Classes IPC  ?

  • G06F 21/60 - Protection de données
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p.ex. par clés ou règles de contrôle de l’accès

94.

SYSTEM AND METHOD FOR AUTOMATICALLY ADJUSTING STRATEGIES

      
Numéro d'application 16720374
Statut En instance
Date de dépôt 2019-12-19
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Zhai, Jinjian

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for automatically adjusting strategies. One of the methods includes: determining one or more characteristics of a plurality of complaints, wherein each of the complaints corresponds to an order; classifying the plurality of complaints into a plurality of categories based on the one or more characteristics by using a trained classifier; selecting a category from the plurality of categories based on a number of complaints in the selected category; from a group of strategies each associated with one or more conditions and one or more actions, identifying a candidate strategy causing the complaints of the selected category, wherein the one or more actions are executed in response to the one or more conditions being satisfied; and optimizing the candidate strategy using a reinforcement learning model at least based on a plurality of historical orders.

Classes IPC  ?

  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06N 3/08 - Méthodes d'apprentissage
  • G06F 16/9035 - Filtrage basé sur des données supplémentaires, p.ex. sur des profils d'utilisateurs ou de groupes
  • G06F 40/40 - Traitement ou traduction du langage naturel

95.

CUMULATIVE SURGED RIDE VALUE CALCULATION ON A RIDESHARING PLATFORM

      
Numéro d'application 16720484
Statut En instance
Date de dépôt 2019-12-19
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Tan, Bo

Abrégé

A cumulative surged ride value may be calculated for trips on a ride sharing platform. A set of segments of a trip of a vehicle on a ridesharing platform may be obtained. The trip may serve a plurality of riders. A personal surge multiplier associated with each of the plurality of riders may be obtained. A driver basic fare for each segment may be obtained. A cumulative ride value may be determined based on the driver basic fare for each segment and the personal surge multiplier associated with each of the plurality of riders.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels

96.

MODEL-BASED DEEP REINFORCEMENT LEARNING FOR DYNAMIC PRICING IN AN ONLINE RIDE-HAILING PLATFORM

      
Numéro d'application 16720753
Statut En instance
Date de dépôt 2019-12-19
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Tang, Xiaocheng

Abrégé

Dynamic pricing may be applied in an online ride-hailing platform. Information may be obtained. The information may include a set of pricing candidates and an initial status of a ride-hailing platform. The set of pricing candidates may be updated based on the initial status of the ride-hailing platform to minimize a cross-entropy between the set of pricing candidates and a target pricing policy that maximizes a total income of the ride-hailing platform. A price for at least one current trip request on the ride-hailing platform may be generated based on the updated set of pricing candidates.

Classes IPC  ?

  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix
  • G06N 3/08 - Méthodes d'apprentissage
  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion

97.

SAFETY GEOFENCE ZONE DEPLOYMENT

      
Numéro d'application 16722169
Statut En instance
Date de dépôt 2019-12-20
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Li, Dong
  • Zhu, Huaiyu
  • Chen, Jing

Abrégé

Safety geofence zones may be created and deployed for a ride sharing service. At least one set of safety geofence zones may be created which are associated with a ride sharing service. A zone type may be set for each set of safety geofence zones in the at least one set of safety geofence zones. At least one trigger condition may be set for the at least one set of safety geofence zones. The at least one set of safety geofence zones may be deployed.

Classes IPC  ?

  • H04W 4/021 - Services concernant des domaines particuliers, p.ex. services de points d’intérêt, services sur place ou géorepères
  • H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
  • H04W 4/02 - Services utilisant des informations de localisation
  • H04W 4/12 - Messagerie; Boîtes aux lettres; Annonces

98.

DYNAMIC GEOFENCE ZONES FOR RIDE SHARING

      
Numéro d'application 16722332
Statut En instance
Date de dépôt 2019-12-20
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s)
  • Zhu, Huaiyu
  • Yuan, Kang
  • Li, Dong
  • Chen, Jing

Abrégé

Dynamic geofence zones may be deployed and updated for a ride sharing service. At least one set of dynamic geofence zones may be created which are associated with a ride sharing service. At least one time period may be set for the at least one set of dynamic geofence zones. The at least one set of dynamic geofence zones may be deployed. The at least one set of dynamic geofence zones may be updated.

Classes IPC  ?

  • G06Q 50/30 - Transport; Communications
  • G06Q 30/02 - Marketing, p.ex. études et analyse de marchés, prospection, promotions, publicité, établissement du profil des acheteurs, gestion ou fidélisation de clientèle; Estimation ou détermination des prix

99.

ABNORMAL TRIP MONITOR

      
Numéro d'application 16722375
Statut En instance
Date de dépôt 2019-12-20
Date de la première publication 2021-06-24
Propriétaire Beijing DiDi Infinity Technology and Development Co., Ltd. (Chine)
Inventeur(s) Zhang, Haocheng

Abrégé

Trips on a ride sharing platform may be monitored in order to predict abnormal trips. A set of fixed features may be obtained based on a trip on a ride sharing platform. A set of dynamic features may be obtained based on the trip on the ride sharing platform. The set of fixed features and the set of dynamic features may be input into a prediction model. The trip on the ride sharing platform may be classified based on an output of the prediction model. An action may be performed based on the classification of the trip on the ride sharing platform.

Classes IPC  ?

  • G06Q 10/06 - Ressources, gestion de tâches, gestion d'hommes ou de projets, p.ex. organisation, planification, ordonnancement ou affectation de ressources en temps, hommes ou machines; Planification dans l'entreprise; Modèles organisationnels
  • G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique

100.

SYSTEMS AND METHODS FOR DISTINGUISHING A DRIVER AND PASSENGERS IN AN IMAGE CAPTURED INSIDE A VEHICLE

      
Numéro d'application CN2019125549
Numéro de publication 2021/119901
Statut Délivré - en vigueur
Date de dépôt 2019-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhang, Xiubao
  • Ge, Yukun
  • Shen, Haifeng

Abrégé

The present disclosure relates to a system and a method for distinguishing a driver and passengers in an image captured inside a vehicle. The system may perform the method to: obtain a face set from the image, the face set including at least one human face inside the vehicle and coordinates of the at least one human face; obtain a candidate driver face set from the face set based on the coordinates of the at least one human face, the candidate driver face set including at least one candidate driver face and coordinates of the at least one candidate driver face; and identify a target driver face from the at least one candidate driver face based on the coordinates of the at least one candidate driver face.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
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