Beijing Didi Infinity Technology and Development Co., Ltd.

Chine

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Date
Nouveautés (dernières 4 semaines) 8
2022 janvier (MACJ) 6
2021 décembre 8
2021 novembre 5
2021 octobre 1
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Classe IPC
G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail 48
G06Q 50/30 - Transport; Communications 46
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers 36
G06Q 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations 35
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 34
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1.

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

2.

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

3.

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

4.

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

5.

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

6.

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

7.

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

8.

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

9.

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

10.

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

11.

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  ?

12.

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

13.

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

14.

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

15.

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  ?

16.

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

17.

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

18.

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

19.

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

20.

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

21.

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

22.

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

23.

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

24.

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

25.

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

26.

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

27.

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

28.

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

29.

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

30.

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

31.

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

32.

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

33.

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

34.

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

35.

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

36.

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

37.

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

38.

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 

39.

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

40.

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

41.

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

42.

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

43.

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  ?

44.

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

45.

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

46.

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

47.

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

48.

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  ?

49.

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

50.

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

51.

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

52.

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

53.

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

54.

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

55.

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

56.

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

57.

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

58.

COMMENT-BASED BEHAVIOR PREDICTION

      
Numéro d'application CN2020136730
Numéro de publication 2021/121252
Statut Délivré - en vigueur
Date de dépôt 2020-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Fu, Conghui
  • Chen, Xin
  • Li, Dong
  • Chen, Jing

Abrégé

Negative driver behaviors may be captured based on passenger comments. A set of comments from a set of first users may be obtained. A set of preprocessed words may be generated based on the set of comments. A numerical vector may be generated based on the set of words. A sparse matrix may be generated based on the numerical vector. The sparse matrix may be input into a trained model. A second user may be classified based on an output of the trained model.

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

59.

TEXT DOCUMENT CATEGORIZATION USING RULES AND DOCUMENT FINGERPRINTS

      
Numéro d'application CN2020136877
Numéro de publication 2021/121279
Statut Délivré - en vigueur
Date de dépôt 2020-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ren, Liwei
  • Wang, Qiaoyue

Abrégé

Methods, apparatuses, and storage media storing instructions for classifying text documents are provided. A plurality of text documents is obtained. The plurality of text documents is classified into one or more document categories based on a plurality of classification rules. Each of the one or more document categories include one or more first text documents of the plurality of text documents. A second text document of the plurality of text documents is classified based on the plurality of classification rules as belonging to none of the one or more document categories. One or more document fingerprints are generated for respective first text documents in the one or more document categories. The second text document is classified into one of the one or more document categories based on the one or more document fingerprints.

Classes IPC  ?

60.

VEHICLE DETOUR MONITORING

      
Numéro d'application CN2020136880
Numéro de publication 2021/121281
Statut Délivré - en vigueur
Date de dépôt 2020-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Yi, Zihan
  • Li, Dong
  • Chen, Jing

Abrégé

A route may be recommended, and it may be determined if a vehicle detours from the recommended route. At least one recommend route may be obtained. A current route of a vehicle may be obtained. A variance value may be determined based on the current route and the at least one recommend route. The variance value may be compared to a threshold. It may be determined whether the variance value exceeds the threshold. If the variance value exceeds the threshold, it may be determined that the vehicle has detoured. If the variance value does not exceed the threshold, it may be determined that the vehicle has not detoured.

Classes IPC  ?

  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente

61.

FINGERPRINTS FOR OPEN SOURCE CODE GOVERNANCE

      
Numéro d'application CN2020137327
Numéro de publication 2021/121338
Statut Délivré - en vigueur
Date de dépôt 2020-12-17
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ren, Liwei
  • Zhang, Fangfang

Abrégé

A method is provided for determining whether a software product includes open source code. A piece of open source code is obtained. A first sequence of the open source code is obtained. A first hash is generated based on the first sequence. A second sequence of the open source code is obtained. The second sequence is shifted from the first sequence. A second hash is generated based on the second sequence. A fingerprint for the open source code is generated based on the first hash and the second hash. The fingerprint is used to determine whether a software product includes the open source code.

Classes IPC  ?

  • G06F 16/13 - Structures d’accès aux fichiers, p.ex. indices distribués

62.

CUMULATIVE SURGED RIDE VALUE CALCULATION ON A RIDESHARING PLATFORM

      
Numéro d'application CN2020137421
Numéro de publication 2021/121348
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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  ?

63.

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

      
Numéro d'application CN2020137440
Numéro de publication 2021/121354
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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 30/06 - Transactions d'achat, de vente ou de crédit-bail

64.

DYNAMIC GEOFENCE ZONES FOR RIDE SHARING

      
Numéro d'application CN2020137570
Numéro de publication 2021/121376
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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  ?

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

65.

CLOUD-CONTROLLED VEHICLE SECURITY SYSTEM

      
Numéro d'application CN2020137592
Numéro de publication 2021/121384
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhu, Huaiyu
  • Chen, Jing
  • Li, Dong

Abrégé

Incidents may be monitored using a camera in response to an activation of a trigger device. Trigger data may be received over a communication network in response to activation of a trigger device disposed within a first area of a vehicle. A camera disposed within a second area of the vehicle may be controlled over the communication network in response to receiving the trigger data, the controlling causing the camera to capture sensor information of a passenger of the vehicle. Passenger information of the passenger of the vehicle may be obtained in response to receiving the trigger data. An alert notification may be generated. The alert notification may comprise at least a portion of the sensor information of the passenger, and the alert notification may be capable of initiating one or more incident actions associated with the passenger.

Classes IPC  ?

  • G08B 13/00 - Alarmes contre les cambrioleurs, les voleurs ou tous intrus
  • G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente

66.

ARTICLE DELIVERY METHOD AND SYSTEM

      
Numéro d'application CN2020125762
Numéro de publication 2021/120894
Statut Délivré - en vigueur
Date de dépôt 2020-11-02
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Li, Min
  • Meng, Gesi
  • Wu, Zhenyuan
  • Wang, Yu

Abrégé

A method and system for an article delivery service. The method comprises: acquiring, from a user end, a service request related to an article (510); at least on the basis of the position of the user end, determining an estimated traveling path of a vehicle corresponding to the user end within a preset future time period (520); on the basis of the estimated traveling path, determining a target delivery point corresponding to the service request (530); at least on the basis of the target delivery point, generating a delivery order related to the article (540); and sending the delivery order to a service provision end (550).

Classes IPC  ?

  • G06Q 10/08 - Logistique, p.ex. entreposage, chargement, distribution ou expédition; Gestion d'inventaire ou de stocks, p.ex. exécution d'une commande, approvisionnement ou régularisation par rapport aux commandes

67.

COMPLAINT HANDLING METHOD, HANDLING SYSTEM, COMPUTER APPARATUS, AND STORAGE MEDIUM

      
Numéro d'application CN2020135918
Numéro de publication 2021/121169
Statut Délivré - en vigueur
Date de dépôt 2020-12-11
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Meng, Jie
  • Qie, Xiaohu

Abrégé

A complaint handling method, a handling system, a computer apparatus, and a storage medium. The complaint handling method comprises: acquiring order information and complaint information (102); recognizing a complaint scenario according to the complaint information, and acquiring a handling policy corresponding to the complaint scenario (104); and determining whether the complaint information is valid according to the handling policy and the order information (106). The invention combines a complaint scenario to accurately determine the falseness of complaint information without needing customer service personnel to review the complaint information, thereby saving labor costs and time, and enhancing the efficiency of performing validity recognition on complaint information.

Classes IPC  ?

  • G06Q 30/00 - Commerce, p.ex. achat ou vente, ou commerce électronique

68.

METHOD FOR DETERMINING RESPONSIBILITY FOR SERVICE ACCIDENT AND SYSTEM

      
Numéro d'application CN2020136414
Numéro de publication 2021/121206
Statut Délivré - en vigueur
Date de dépôt 2020-12-15
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Su, Hong
  • Sha, Hongzhou
  • Qie, Xiaohu
  • Liu, Zhangxun
  • Wu, Wendong
  • Wang, Zhenyu

Abrégé

Provided is a method for determining responsibility for service accident. The method comprises: acquiring a service request (510), a service accident occurs in the service request; extracting features of the service request (520); and processing the features based on a responsibility determination model, to determine a responsibility determination result for the service accident (530), the responsibility determination result at least comprises: whether the service provider of the service request is the responsible party of the service accident.

Classes IPC  ?

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

69.

AUTOMATIC INCIDENT DETECTION AND REPORTING

      
Numéro d'application CN2020136723
Numéro de publication 2021/121249
Statut Délivré - en vigueur
Date de dépôt 2020-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Li, Dong
  • Chen, Jing

Abrégé

Incidents may be detected and reported based on changes in sensor data from a device. Trigger data from a trigger device in a vehicle may be received over a communication network. An incident report may be generated based on the trigger data. The incident report may comprise driver information of a driver of the vehicle. A user account of the driver in a ride sharing application may be blocked.

Classes IPC  ?

  • G08B 21/02 - Alarmes pour assurer la sécurité des personnes
  • G06Q 50/26 - Services gouvernementaux ou services publics

70.

MULTI-PURPOSE AGENT FOR ENDPOINT SCANNING

      
Numéro d'application CN2020136879
Numéro de publication 2021/121280
Statut Délivré - en vigueur
Date de dépôt 2020-12-16
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ren, Liwei
  • Chen, Jing

Abrégé

Methods, apparatuses, and storage media storing instructions for scanning electronically-stored files are provided. A file stored in a computer-readable storage medium is scanned. Based on the scanning, a common analysis is performed on the file for two or more software functions. Based on the scanning, a software function-specific analysis is performed on the file for a respective software function. Two or more decisions on the file is made for the two or more software functions based on the common analysis and the software function-specific analysis.

Classes IPC  ?

  • G06F 21/51 - Contrôle des usagers, programmes ou dispositifs de préservation de l’intégrité des plates-formes, p.ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade du chargement de l’application, p.ex. en acceptant, en rejetant, en démarrant ou en inhibant un logiciel exécutable en fonction de l’intégrité ou de la fiabilité de la source

71.

VISUAL LOCATION METHOD AND SYSTEM

      
Numéro d'application CN2020137132
Numéro de publication 2021/121306
Statut Délivré - en vigueur
Date de dépôt 2020-12-17
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Bao, Ling
  • Xu, Bin
  • Du, Xiance
  • Zhang, Jun
  • Teng, Xiaoqiang
  • Ruan, Zhiwei
  • Zhou, Huanqing
  • Xu, Pengfei
  • Li, Ronghao
  • Hu, Runbo
  • Chai, Hua

Abrégé

Provided is a visual location method. The method comprises: acquiring a location image, wherein the location image is collected by means of an imaging device (410); acquiring a three-dimensional point cloud map associated with an area where the imaging device is located (420); determining, from the three-dimensional point cloud map and on the basis of the location image, a target area associated with the location image; and determining location information of the imaging device on the basis of the location image and the target area.

Classes IPC  ?

  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques

72.

SYSTEM AND METHOD FOR TESTING MULTIPLE VARIANTS

      
Numéro d'application CN2020137423
Numéro de publication 2021/121349
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de publication 2021-06-24
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 testing a plurality of variants among a plurality of users. One of the methods includes: determining a spatial granularity to divide an area into a plurality of grid cells; randomly splitting the plurality of grid cells into a plurality of testing groups, wherein a quantity of the plurality of testing groups is determined based on a quantity of the multiple versions of the feature to be tested; determining a temporal granularity to divide a testing period into a plurality of testing intervals; during each of the plurality of testing intervals, respectively assigning the multiple versions of the feature to the plurality of testing groups; and obtaining a treatment effect for each of the multiple versions of the feature and determining an optimal version of the feature.

Classes IPC  ?

  • G06F 16/00 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet

73.

SYSTEM, METHOD, AND STORAGE MEDIUM FOR DISTRIBUTED DATA MANAGEMENT

      
Numéro d'application CN2020137424
Numéro de publication 2021/121350
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

74.

SAFETY GEOFENCE ZONE DEPLOYMENT

      
Numéro d'application CN2020137442
Numéro de publication 2021/121355
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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 4/02 - Services utilisant des informations de localisation

75.

DYNAMIC CARPOOL DISCOUNT DETERMINATION ON RIDESHARING PLATFORMS

      
Numéro d'application CN2020137558
Numéro de publication 2021/121375
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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

76.

ABNORMAL TRIP MONITOR

      
Numéro d'application CN2020137574
Numéro de publication 2021/121377
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de 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 10/02 - Réservations, p.ex. pour billetterie, services ou manifestations
  • G06Q 10/04 - Prévision ou optimisation, p.ex. programmation linéaire, "problème du voyageur de commerce" ou "problème d'optimisation des stocks"
  • G06Q 30/06 - Transactions d'achat, de vente ou de crédit-bail

77.

AUGMENTED PASSENGER VERIFICATION

      
Numéro d'application CN2020137583
Numéro de publication 2021/121379
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Li, Dong
  • Zhu, Huaiyu
  • Shi, Junbo
  • Hu, Deyu
  • Chen, Jing
  • Zhang, Haocheng

Abrégé

After determining a trip order has a high risk, verification information unavailable in a passenger information database system can be requested and provided for a passenger of the account. Validity of the verification information can be determined using a verification service and stored in a passenger information database. A decision for the trip order can be determined based on the validity of the verification information stored in the passenger information database.

Classes IPC  ?

78.

IDENTITY AND ACCESS MANAGEMENT DYNAMIC CONTROL AND REMEDIATION

      
Numéro d'application CN2020137598
Numéro de publication 2021/121385
Statut Délivré - en vigueur
Date de dépôt 2020-12-18
Date de publication 2021-06-24
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xie, Zaixin
  • Qiu, Zhiyong
  • Zhang, Jiantao
  • Huang, Yuhong

Abrégé

Identity and access management may update and remediation may be performed dynamically. Historical user behavior data may be obtained. An account specific baseline based on the historical user behavior data may be generated. An access request may be received from a current user. Current user behavior data associated with a current user may be obtained. The current user behavior data may be compared to the account specific baseline. It may be determined whether the current user behavior data satisfies the account specific baseline. If the current user behavior data satisfies the account specific baseline, an access may be granted to the current user. If the current user behavior data does not satisfy the account specific baseline, access may be denied to the current user.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole

79.

TRAFFIC EVALUATION METHOD AND SYSTEM

      
Numéro d'application CN2020134868
Numéro de publication 2021/115320
Statut Délivré - en vigueur
Date de dépôt 2020-12-09
Date de publication 2021-06-17
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Hongwei
  • Sun, Weili
  • Meng, Yuan
  • Wu, Tianlong

Abrégé

A traffic evaluation method used for a target road section, the method comprising: acquiring meteorological data of a target road section within a certain time period and historical traffic flow data within a historical time period prior to the time period (401); on the basis of the historical traffic flow data and the meteorological data, using a trained prediction model to determine predicted traffic flow data of the target road section within the time period (403); and on the basis of the predicted traffic flow data, determining at least one traffic evaluation parameter related to the target road section within the time period (405), wherein the traffic evaluation parameter is used for evaluating the traffic recovery capacity of the target road section under the meteorological data condition.

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

80.

SYSTEMS AND METHODS FOR DETERMINING RESTRICTION ATTRIBUTE OF AREA OF INTERSET

      
Numéro d'application CN2019125356
Numéro de publication 2021/114279
Statut Délivré - en vigueur
Date de dépôt 2019-12-13
Date de publication 2021-06-17
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Zhu, Fenghao

Abrégé

Methods for determining a restriction attribute of an area of interest includes obtaining feature information associated with the AOI; associating the AOI with a plurality of selected historical behavior points and determining, based on the plurality of selected historical behavior points associated with the AOI and the feature information associated with the AOI, a restriction attribute of the AOI. Systems for determining a restriction attribute of an area of interest are also disclosed.

Classes IPC  ?

  • G06F 16/00 - Recherche d’informations; Structures de bases de données à cet effet; Structures de systèmes de fichiers à cet effet
  • 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
  • G06Q 20/00 - Architectures, schémas ou protocoles de paiement

81.

SYSTEMS AND METHODS FOR LOAD CONTROL OF DOMAIN NAME SYSTEM SERVER

      
Numéro d'application CN2019122731
Numéro de publication 2021/108993
Statut Délivré - en vigueur
Date de dépôt 2019-12-03
Date de publication 2021-06-10
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhao, Yanqi
  • Li, Weiwei
  • Yang, Jian

Abrégé

Systems and methods for load control of a Domain Name System (DNS) server. A system may include a communication interface configured to receive a DNS query from a user device. The DNS query may include at least one DNS packet. The system may also include at least one processor coupled to the communication interface. The at least one processor is configured to extract information indicative of a source IP address from the DNS packet and assign a predetermined control strategy to the DNS packet based on the source IP address. Moreover, the at least one processor is further configured to mark an unused field of the DNS packet based on the assigned predetermined control strategy and transmit the marked DNS packet to the DNS server.

Classes IPC  ?

  • H04L 29/12 - Dispositions, appareils, circuits ou systèmes non couverts par un seul des groupes caractérisés par le terminal de données

82.

METHOD AND SYSTEM FOR YAW RECOGNITION

      
Numéro d'application CN2020131562
Numéro de publication 2021/104325
Statut Délivré - en vigueur
Date de dépôt 2020-11-25
Date de publication 2021-06-03
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Ye, Cichang
  • Sun, Beijia
  • An, Kaiqiang
  • Liu, Guoping

Abrégé

Provided are a method and system for yaw recognition, said method comprising: obtaining a first navigation route an object travels, and one or a plurality of positioning location points during the process of travel (510); on the basis of the positional relationship between the one or plurality of positioning location points and the first navigation route, determining whether a first preset condition is met (520); and, in response to the first preset condition not being met, determining, on the basis of relevant information associated with the travel of the object, whether the object is in a yaw travel state (530).

Classes IPC  ?

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

83.

BASE STATION POSITIONING BASED ON CONVOLUTIONAL NEURAL NETWORKS

      
Numéro d'application CN2019122273
Numéro de publication 2021/103027
Statut Délivré - en vigueur
Date de dépôt 2019-11-30
Date de publication 2021-06-03
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lin, Yu
  • Yin, Buyi
  • Feng, Zhaoyang
  • Chen, Juhua
  • Shu, Weihuan

Abrégé

Systems and methods for base station positioning based on a convolutional neural network are disclosed. The method may include acquiring, by a positioning server, feature information that is received from one or more base stations at different locations in the area of interest; generating a feature input that includes of a plurality of feature maps based on the feature information; training a convolutional neural network (CNN) based on the feature input; and determining a position of a terminal device using the trained CNN.

Classes IPC  ?

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

84.

SYSTEMS AND METHODS FOR PROCESSING AUDIO SIGNALS

      
Numéro d'application CN2019119449
Numéro de publication 2021/097666
Statut Délivré - en vigueur
Date de dépôt 2019-11-19
Date de publication 2021-05-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Sha, Yongtao
  • Song, Hui
  • Zhang, Yi
  • Deng, Chengyun

Abrégé

Systems and methods for processing audio signals are provided. The method may include preprocessing multiple audio signals to obtain multiple preprocessed audio signals. The method may include splitting each of the multiple preprocessed audio signals temporally to a sequence of audio frames. Each audio frame corresponds to a time frame of a sequence of time frames. For each time frame of the sequence of time frames, the method may include comparing the audio frames of the multiple channels corresponding to the time frame and designating, according to a comparison result, one audio frame as a target audio frame corresponding to the time frame.

Classes IPC  ?

85.

METHOD AND SYSTEM FOR SENDING PROMPT INFORMATION

      
Numéro d'application CN2020130699
Numéro de publication 2021/098866
Statut Délivré - en vigueur
Date de dépôt 2020-11-21
Date de publication 2021-05-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Lyu, Yien
  • Sha, Hongzhou
  • Ren, Siyu
  • Wang, Chengying
  • Liu, Jiao

Abrégé

The embodiments of the present description disclose a method and a system for sending prompt information. The method for sending prompt information comprises: a service platform determining first current state information of a service provider end; the service platform determining, according to the first current state information, a first service anomaly probability of the service provider end; and if the first service anomaly probability exceeds a first predetermined value, the service platform sending first prompt information to the service provider end. In the present description, the service platform performs anomaly processing on a service order according to the first service anomaly probability, and selectively sends prompt information to the service provider end, being able to reduce the number of times of sending prompt information, and also reducing network traffic.

Classes IPC  ?

86.

SYSTEMS AND METHODS FOR TRAFFIC CONTROL BASED ON VEHICLE TRAJECTORY DATA

      
Numéro d'application CN2019119977
Numéro de publication 2021/097759
Statut Délivré - en vigueur
Date de dépôt 2019-11-21
Date de publication 2021-05-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zheng, Jianfeng
  • Wang, Zihao
  • Liu, Xianghong
  • Han, Yu

Abrégé

A system (100) and a method (300) for traffic control based on vehicle trajectory data (203), the system (100) may include: a communication interface (202) configured to receive the vehicle trajectory data (203) associated with a traffic flow from at least one navigation device (110), at least one processor (204) configured to determine at least one bottleneck in the traffic flow based on the vehicle trajectory data (203) and estimate a traffic volume associated with the bottleneck based on the vehicle trajectory data (203). The at least one processor (204) may be further configured to predict a future traffic flow based on the estimated traffic volume and control traffic based on the predicted future traffic flow. And the system (100) may further include a storage (208) configured to store the trajectory data and the predicted future traffic flow.

Classes IPC  ?

  • G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande
  • G08G 1/08 - Commande des signaux de trafic selon le nombre ou la vitesse détectés des véhicules

87.

SYSTEMS AND METHODS FOR MULTI-SOURCE DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION

      
Numéro d'application CN2019120053
Numéro de publication 2021/097774
Statut Délivré - en vigueur
Date de dépôt 2019-11-21
Date de publication 2021-05-27
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Pengfei
  • Zhao, Sicheng
  • Li, Bo
  • Yue, Xiangyu
  • Gu, Yang
  • Xing, Tengfei
  • Song, Zhichao
  • Hu, Runbo
  • Chai, Hua

Abrégé

The present disclosure relates to a system and a method for performing multi-source domain adaptation for semantic segmentation by using a Multi-source Adversarial Domain Aggregation Network (MADAN) framework. The MADAN framework achieves the highest mloU score compared to existing adaptation methods. The MADAN framework is believed to benefit from the joint consideration of pixel-and feature-level alignments, cycle-consistency, dynamic semantic-consistency, domain aggregation, and multiple sources by employing Dynamic Adversarial Image Generation, Adversarial Domain Aggregation, and Feature-aligned Semantic Segmentation.

Classes IPC  ?

88.

DATA SYNCHRONIZATION SYSTEM, AND METHOD

      
Numéro d'application CN2020124262
Numéro de publication 2021/093586
Statut Délivré - en vigueur
Date de dépôt 2020-10-28
Date de publication 2021-05-20
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Chen, Gong

Abrégé

A data synchronization system and a method. The system can comprise a receiving module (120), an instruction generation module (130), and a transmission module (140). The receiving module (120) can be configured to receive a first instruction, the first instruction can be used to instruct the system to activate data acquisition. The instruction generation module (130) can be configured to generate, in response to receiving the first instruction, a second instruction, and the second instruction may be used to trigger at least two sensors (150, 160) to acquire data. The transmission module (140) can be configured to transmit, on the basis of a first time delay, the second instruction to the at least two sensors (150, 160), and the first time delay enables the at least two sensors (150, 160) to start data acquisition with a time difference that is less than a first pre-determined threshold.

Classes IPC  ?

  • G05B 19/04 - Commande à programme autre que la commande numérique, c.à d. dans des automatismes à séquence ou dans des automates à logique
  • G06F 13/16 - Traitement de demandes d'interconnexion ou de transfert pour l'accès au bus de mémoire
  • 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

89.

SYSTEM, METHOD, AND STORAGE MEDIUM FOR SELECTING LEARNING MATERIALS

      
Numéro d'application CN2019115392
Numéro de publication 2021/087676
Statut Délivré - en vigueur
Date de dépôt 2019-11-04
Date de publication 2021-05-14
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Huang, Tao
  • Zhang, Guchao
  • Qin, Zhiwei
  • Liu, Yashu

Abrégé

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting a learning material for a user are provided. One of the methods includes: generating a vector representation corresponding to each of a plurality of learning materials based on information of the each learning material, and clustering the plurality of learning materials into one or more groups of learning materials based on the generated vector representations; inputting features of a user into a trained reinforcement learning (RL) model as a state to identify a group of learning materials for the user to study; and selecting, a learning material for the user to study from the group of learning materials identified by the RL model.

Classes IPC  ?

90.

SYSTEMS AND METHODS FOR DETERMINING NAME FOR BOARDING POINT

      
Numéro d'application CN2019115323
Numéro de publication 2021/087663
Statut Délivré - en vigueur
Date de dépôt 2019-11-04
Date de publication 2021-05-14
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Chen, Mingquan
  • Wu, Zhibin
  • Liu, Bolong
  • Ma, Li
  • Chen, Wangting

Abrégé

A system and method for determining a name for a boarding point are disclosed. The method includes obtaining a current location of a subject (510). The method includes determining at least one boarding point based on the current location of the subject (520). The method includes selecting a plurality of candidate POIs from a plurality of POIs based on the at least one boarding point (530). The method includes determining a score of each of the plurality of candidate POIs by using a trained POI model (540). The method includes determining a target POI from the plurality of candidate POIs based on the scores of the plurality of candidate POIs (550). The method includes designating a name of the target POI as a name of the corresponding boarding point (560).

Classes IPC  ?

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

91.

SYSTEMS AND METHODS FOR AUTOMATIC VEHICLE STATUS UPDATE ON DRIVER APP

      
Numéro d'application CN2019114902
Numéro de publication 2021/081965
Statut Délivré - en vigueur
Date de dépôt 2019-10-31
Date de publication 2021-05-06
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Yamamoto, Tomoya
  • Dai, Dongfeng
  • Zhang, Yaping
  • Zhang, Xiaohu
  • Liu, Yi
  • Wang, Shuyi

Abrégé

A system (400) and a method for establishing automatic communication between a driver interface app (490) and an in-vehicle equipment (430, 470) of a vehicle. The systems (400) and methods are based on capturing and interpreting a voltage signal from a cable (420, 480) that is connected to the in-vehicle equipment (430, 470) to obtain and communicate a corresponding vehicle status to the driver interface app (490). The systems (400) in general comprise an interface unit (410) connected to and in communication with the cable (420, 480) connected to the in-vehicle equipment (430, 470), a wireless or a network communication unit (440) for transmitting data to the driver interface app (490); a storage medium (450) storing a set of instructions; and a processor (460) in communication with the storage medium (450) to execute the set of instructions.

Classes IPC  ?

92.

SYSTEMS AND METHODS FOR IMPROVING AN ONLINE TO OFFLINE PLATFORM

      
Numéro d'application CN2019112585
Numéro de publication 2021/077300
Statut Délivré - en vigueur
Date de dépôt 2019-10-22
Date de publication 2021-04-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Liu, Xiao
  • Zhang, Yunzhou

Abrégé

A method includes obtaining a plurality of routes associated with a plurality of orders provided by the online to offline platform in a historical period (510). The method may also include clustering, based on one or more features associated with each of the plurality of routes, the plurality of routes into multiple groups, each of the multiple groups including one or more routes (520). The method may further include determining, based on the one or more operation indicators of the online to offline platform (530); and determining, based on the model for estimating one or more operation indicators of the online to offline platform, an operation indicator of the online to offline platform in a future period (540).

Classes IPC  ?

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

93.

SYSTEMS AND METHODS FOR IMAGE PROCESSING

      
Numéro d'application CN2020122362
Numéro de publication 2021/078133
Statut Délivré - en vigueur
Date de dépôt 2020-10-21
Date de publication 2021-04-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Wang, Hao
  • Zhang, Tianming

Abrégé

It relates to systems and methods for image processing. The system may obtain an image of an object. The system may determine feature information of the object in the image based on the image by using a trained feature recognition model. The system may process the image based on the feature information.

Classes IPC  ?

  • G06K 9/32 - Alignement ou centrage du capteur d'image ou de la zone image
  • G06K 9/36 - Prétraitement de l'image, c. à d. traitement de l'information image sans se préoccuper de l'identité de l'image

94.

PICK-UP POINT RECOMMENDATION METHOD AND SYSTEM

      
Numéro d'application CN2020122966
Numéro de publication 2021/078216
Statut Délivré - en vigueur
Date de dépôt 2020-10-22
Date de publication 2021-04-29
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Zhao, Yichen
  • Liu, Qian
  • Shen, Chao
  • He, Minghui
  • Yang, Jiantao
  • Shu, Weihuan
  • Ma, Li

Abrégé

Embodiments of the present application provide a pick-up point recommendation method and system. The method comprises: obtaining information of a search point of interest determined by a user; determining a first candidate pick-up point set on the basis of at least the information of the search point of interest, the first candidate pick-up point set comprising multiple candidate pick-up points; and determining, by means of a preset algorithm on the basis of at least the first candidate pick-up point set, at least one pick-up point to be recommended, and displaying to the user the at least one pick-up point to be recommended.

Classes IPC  ?

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

95.

SAFE CHARGING METHOD, STORAGE MEDIUM, ELECTRONIC DEVICE AND SYSTEM

      
Numéro d'application CN2020092881
Numéro de publication 2021/073109
Statut Délivré - en vigueur
Date de dépôt 2020-05-28
Date de publication 2021-04-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s) Xu, Ruiqiao

Abrégé

A safe charging method, a storage medium, an electronic device and a system. The method comprises: acquiring the vehicle model of a charging vehicle (S101); if the vehicle model matches any preset dangerous vehicle model, obtaining a stop charging parameter threshold corresponding to the vehicle model (S102); and if the charging parameter of the charging vehicle reaches the stop charging parameter threshold, sending a stop charging signal corresponding to a device attribute, the stop charging signal being used to control a charging pile to stop charging the charging vehicle (S103). Thus, if the charging vehicle belongs to one of the preset dangerous vehicle models, the stop charging parameter threshold is set for the charging vehicle, and when the charging parameter of the charging vehicle reaches the stop charging parameter threshold, charging is stopped, thereby preventing the phenomenon of spontaneous combustion that is caused by a dangerous vehicle model during the charging process, and improving the safety of the charging process.

Classes IPC  ?

  • B60L 53/65 - Surveillance et commande des stations de charge impliquant l'identification des véhicules ou de leurs types de batteries
  • B60L 53/62 - Surveillance et commande des stations de charge en réponse à des paramètres de charge, p.ex. courant, tension ou charge électrique
  • H01M 10/44 - Méthodes pour charger ou décharger

96.

CHARGING PILE MANAGEMENT METHOD AND SYSTEM

      
Numéro d'application CN2020120830
Numéro de publication 2021/073525
Statut Délivré - en vigueur
Date de dépôt 2020-10-14
Date de publication 2021-04-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Xu, Yangyang
  • Yu, Hailin

Abrégé

Disclosed in embodiments of the present application are a charging pile management method and system. The method comprises: receiving one or more charging reservation requests from one or more user terminals, the charging reservation request comprising a bid price associated with the use of a charging pile within a preset time period; on the basis of the bid price, determining a charging reservation request for obtaining the right to use the charging pile within the preset time period; accepting the charging reservation request for obtaining the right to use the charging pile within the preset time period, rejecting other charging reservation requests, and separately sending the charging reservation result to the one or more user terminals; and sending a locking instruction to the charging pile, so that only the charging reservation user who obtains the right to use the charging pile within the preset time period can start charging. The present application provides a technical solution for bidding for the right to use the charging pile, can satisfy the urgent requirements of a user, and achieve the purpose of regulating supply and demand.

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

97.

METHOD AND SYSTEM FOR DISPLAYING TRAVEL-RELATED CONTENT FOR USER

      
Numéro d'application CN2020121157
Numéro de publication 2021/073573
Statut Délivré - en vigueur
Date de dépôt 2020-10-15
Date de publication 2021-04-22
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Gao, Pan
  • Zhou, Miaoyi
  • Rong, Wei
  • Li, Tao
  • Wei, Wanying
  • Xu, Xin

Abrégé

Disclosed in embodiments of the present description are a method and system for displaying travel-related content for a user, the method comprising: using a travel application program located on a user terminal to execute the following: on the basis of a first state of the travel application program, displaying a second interface as a floating layer on a first interface; and when a first trigger event is detected, performing a display transform operation on the second interface. In the embodiments of the present description, related content may be displayed as a floating layer on a first interface according to the state of an application program, thus improving user experience.

Classes IPC  ?

  • 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
  • G06F 3/0488 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p.ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p.ex. des gestes en fonction de la pression exer utilisant un écran tactile ou une tablette numérique, p.ex. entrée de commandes par des tracés gestuels

98.

SYSTEMS AND METHODS FOR IMAGE QUALITY DETECTION

      
Numéro d'application CN2019110515
Numéro de publication 2021/068178
Statut Délivré - en vigueur
Date de dépôt 2019-10-11
Date de publication 2021-04-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Gao, Haitao
  • Zhang, Yifei
  • Li, Guozhen
  • Li, Youzeng
  • Yan, Zhangxi
  • Li, Peilun

Abrégé

The disclosure relates to system and method for image quality detection. The method may include: obtaining an image acquired by a camera; obtaining an image quality detection model, the image quality detection model being provided by training a machine learning model using a plurality of training samples; determining a detection result of the image using the image quality detection model; and in response to a determination that the detection result includes a quality anomaly of the image, generating a strategy in response to the quality anomaly.

Classes IPC  ?

  • G06T 7/00 - Analyse d'image
  • G01N 21/88 - Recherche de la présence de criques, de défauts ou de souillures

99.

METHOD AND SYSTEM FOR CONTINUAL META-LEARNING

      
Numéro d'application CN2019110530
Numéro de publication 2021/068180
Statut Délivré - en vigueur
Date de dépôt 2019-10-11
Date de publication 2021-04-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tang, Jian
  • Wu, Kun
  • Yin, Chengxiang
  • Che, Zhengping

Abrégé

Embodiments of the disclosure provide artificial intelligence systems and methods for training a continual meta-learner framework (CML) model. An exemplary artificial intelligence system includes a storage device and a processor. A plurality of tasks are received at the CML framework in a sequence, where each task comprises a training dataset and a test dataset. For each task, a fast-learning is performed by training the student network and the discriminator associated with the CML framework based on the training dataset associated with the task. One or more initial parameters associated with the student network and the discriminator are updated to generate updated initial parameters corresponding to the one or more initial parameters. A meta-update is performed to optimize the one or more initial parameters associated with the student network and the discriminator using the updated initial parameters.

Classes IPC  ?

  • G06N 3/02 - Systèmes de calculateurs basés sur des modèles biologiques utilisant des modèles de réseaux neuronaux

100.

SYSTEMS AND METHODS FOR INSTANCE SEGMENTATION BASED ON SEMANTIC SEGMENTATION

      
Numéro d'application CN2019110539
Numéro de publication 2021/068182
Statut Délivré - en vigueur
Date de dépôt 2019-10-11
Date de publication 2021-04-15
Propriétaire BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (Chine)
Inventeur(s)
  • Tang, Jian
  • Yin, Chengxiang
  • Wu, Kun
  • Che, Zhengping

Abrégé

A system and a method for performing instance segmentation based on semantic segmentation that is capable of (1) processing HD images in real-time given semantic segmentation; (2) delivering comparable performance with Mask R-CNN in terms of accuracy when combined with a widely-used semantic segmentation method (such as DPC), while consistently outperforms a state-of-the-art real-time solution; (3) working flexibly with any semantic segmentation model for instance segmentation; (4) outperforming Mask R-CNN if the given semantic segmentation is sufficiently good; and (5) being easily extended to panoptic segmentation.

Classes IPC  ?

  • G06N 3/04 - Architecture, p.ex. topologie d'interconnexion
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