Beijing Didi Infinity Technology and Development Co., Ltd.

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IPC Class
G06Q 50/30 - Transportation; Communications 143
G01C 21/34 - Route searching; Route guidance 102
G08G 1/00 - Traffic control systems for road vehicles 91
G06Q 10/02 - Reservations, e.g. for tickets, services or events 77
G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling 68
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1.

CLOUD-CONTROLLED VEHICLE SECURITY SYSTEM

      
Application Number 18381387
Status Pending
Filing Date 2023-10-18
First Publication Date 2024-02-08
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Zhu, Huaiyu
  • Chen, Jing
  • Li, Dong

Abstract

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.

IPC Classes  ?

  • G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
  • H04W 4/48 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for in-vehicle communication
  • B60R 25/30 - Detection related to theft or to other events relevant to anti-theft systems
  • B60R 25/102 - Fittings or systems for preventing or indicating unauthorised use or theft of vehicles actuating a signalling device a signal being sent to a remote location, e.g. a radio signal being transmitted to a police station, a security company or the owner
  • G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
  • H04N 23/65 - Control of camera operation in relation to power supply

2.

Machine learning-based real-time guest rider identification

      
Application Number 17127752
Grant Number 11741400
Status In Force
Filing Date 2020-12-18
First Publication Date 2023-08-29
Grant Date 2023-08-29
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Fu, Conghui
  • Yi, Zihan
  • Ni, Zetian
  • Chen, Xin

Abstract

Techniques for automatically detecting when a ride requester has requested a ride-share ride on behalf of a guest rider using some or all of the communications between the driver and ride requester are described herein. For example, a server can obtain chat logs between a ride requester and a driver and process the chat logs to identify whether the ride requester has requested a ride on behalf of a guest rider. In particular, the server can train an artificial intelligence model (e.g., a machine learning model) to predict potential guest rider behavior. Once trained, the server can obtain chat logs comprising chat messages sent between a driver and a ride requester, and apply a representation of the chat logs as an input to the trained artificial intelligence model to determine whether guest rider behavior is detected.

IPC Classes  ?

  • G06Q 10/02 - Reservations, e.g. for tickets, services or events
  • G06Q 50/30 - Transportation; Communications
  • G10L 17/06 - Decision making techniques; Pattern matching strategies
  • G06N 20/00 - Machine learning
  • G06F 18/213 - Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
  • G06F 18/214 - Generating training patterns; Bootstrap methods, e.g. bagging or boosting

3.

SYSTEMS AND METHODS FOR RECOMMENDING POINTS OF INTEREST

      
Application Number 18308667
Status Pending
Filing Date 2023-04-27
First Publication Date 2023-08-24
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Liu, Qian
  • Chen, Mingquan
  • Shen, Chao

Abstract

The present disclosure relates to systems and methods for displaying one or more points of interest (POIs) of a location-based service (LBS). The method may include receiving a request for an LBS sent by a user via a user terminal and obtaining a start location based on the request for the LBS. The method may also include determining one or more recommended POIs based on the start location and POI data associated with the start location. Further, the method may also include transmitting signals to the user terminal to display at least one of the one or more recommended POIs.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G01C 21/36 - Input/output arrangements for on-board computers

4.

SYSTEMS AND METHODS FOR DISPLAYING VEHICLE INFORMATION FOR ON-DEMAND SERVICES

      
Application Number 18190953
Status Pending
Filing Date 2023-03-27
First Publication Date 2023-07-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Nie, Fenglong

Abstract

The present disclosure relates to systems and methods for displaying vehicle information for an on-demand service. The method may include sending a request for on-demand service to a server. The method may further include obtaining information of a vehicle related to the request for on-demand service. The information of the vehicle may include color information of the vehicle. The method may further include generating, by a processor, a user interface based on the information of the vehicle. The user interface may include at least one user interface element corresponding to the color information of the vehicle.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
  • G01C 21/34 - Route searching; Route guidance
  • G06T 11/60 - Editing figures and text; Combining figures or text
  • H04L 67/51 - Discovery or management thereof, e.g. service location protocol [SLP] or web services
  • H04L 67/63 - Routing a service request depending on the request content or context

5.

PICK-UP POINT RECOMMENDATION METHOD AND SYSTEM, ELECTRONIC DEVICE, MEDIUM, AND PROGRAM PRODUCT

      
Application Number CN2022107578
Publication Number 2023/109128
Status In Force
Filing Date 2022-07-25
Publication Date 2023-06-22
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Luo, Meifei

Abstract

The present disclosure provides a pick-up point recommendation method and system, an electronic device, a medium, and a program product. The pick-up point recommendation method comprises: acquiring travel information of a user, the travel information comprising initial travel starting point information and travel destination information; when the user enables a recommendation function, on the basis of the travel information, determining a recommended pick-up point from among a plurality of candidate pick-up points corresponding to the initial travel starting point information, the distance of a route between the recommended pick-up point and a travel destination of the user satisfying a preset condition; and displaying on a travel information display page position information of the recommended pick-up point, the position information of the recommended pick-up point being used to update the initial travel starting point information in the travel information.

IPC Classes  ?

  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

6.

MEETING ASSISTANCE METHOD AND SYSTEM, AND STORAGE MEDIUM

      
Application Number CN2022105908
Publication Number 2023/098092
Status In Force
Filing Date 2022-07-15
Publication Date 2023-06-08
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Wang, Cheng

Abstract

Embodiments of the present invention provide a meeting assistance method and system, and a storage medium. The method comprises: determining the distance between a service provider and a preset meeting position; when the distance is smaller than a distance threshold, instructing the service provider or a vehicle corresponding to the service provider to send a short-range wireless communication signal; instructing a service requester to establish a communication connection to the service provider or the vehicle on the basis of the short-range wireless communication signal; and guiding, on the basis of the communication connection, the service requester to meet the service provider.

IPC Classes  ?

  • H04W 4/02 - Services making use of location information

7.

METHOD AND APPARATUS FOR MANAGING COMBINED TRAVEL

      
Application Number CN2022106392
Publication Number 2023/098095
Status In Force
Filing Date 2022-07-19
Publication Date 2023-06-08
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Cui, Qiaoling
  • Yang, Xiaolong
  • Xiahou, Youjie
  • Wang, Jiahao

Abstract

Embodiments of the present application provide a method and apparatus for managing combined travel. The method provided herein comprises: acquiring trip information, wherein the trip information at least indicates a start point and an end point of a trip; and presenting combined travel recommendation information on a shared travel service interface, wherein the combined travel recommendation information is used for describing a target combined travel route, the target combined travel route is determined on the basis of the trip information, and the shared travel service interface further provides at least one candidate shared travel service for the trip. On the basis of such a mode, the embodiments of the present application can provide recommendation information for a combined travel route on the shared travel service interface, so as to provide richer travel choices for a user.

IPC Classes  ?

  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

8.

CARPOOLING METHOD AND SYSTEM, ELECTRONIC DEVICE, MEDIUM, AND PROGRAM PRODUCT

      
Application Number CN2022104665
Publication Number 2023/098085
Status In Force
Filing Date 2022-07-08
Publication Date 2023-06-08
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Yunfan
  • Gao, Sheng
  • Huang, Datao

Abstract

The present disclosure provides a carpooling method and system, an electronic device, a medium, and a program product. The method comprises: obtaining and displaying, on the basis of departure point information of a first client, description information of at least one available vehicle; in response to receiving a trigger operation for the description information of any available vehicle, displaying travel detail information corresponding to the any available vehicle, information about each station in a travel route of the any available vehicle being displayed in the travel detail information; and generating carpooling order information according to the selected destination station information in the information about each station of the any available vehicle, and sending the carpooling order information to a server.

IPC Classes  ?

9.

METHODS, APPARATUS, STORAGE MEDIUMS, AND ELECTRONIC DEVICES FOR IMFORMATION EXCHANGE

      
Application Number 18147011
Status Pending
Filing Date 2022-12-28
First Publication Date 2023-05-04
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Zhang, Xudong

Abstract

The embodiments of the present disclosure provide a method, an apparatus, a storage medium, and an electronic device for information exchange. After receiving task information of a task, a task processing terminal may send its own position. A task issuing terminal may control a display device to render and display a position modification control corresponding to the task. In response to the position modification control is triggered, the task issuing terminal may display a modification page to detect a input operation. In response to that the input operation is detected, the task issuing terminal may determine corresponding position information and send position modification information determined based on the position information to a server. The server may obtain the task information and send, in response to that a task processing state of the task is unprocessed, a position modification prompt and the position modification information, so that the task processing terminal may modify a starting position of the task based on the position information. The method in the embodiments of the present disclosure may reduce a possibility of a task being cancelled and improve a utilization rate of task processing resources.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G01C 21/00 - Navigation; Navigational instruments not provided for in groups
  • G06Q 50/30 - Transportation; Communications

10.

SYSTEMS AND METHODS FOR MONITORING ON-ROUTE TRANSPORTATIONS

      
Application Number 18066984
Status Pending
Filing Date 2022-12-15
First Publication Date 2023-04-20
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Beibei
  • He, Xu
  • Tang, Chao
  • Wu, Zhaoxue

Abstract

The present disclosure relates to a method and system for monitoring on route transportations. The method includes obtaining a driving route of a target vehicle; obtaining a reference position on the driving route away from a first current position of the target vehicle; determining a second current position of the target vehicle after a reference time; determining a distance between the second current position and the reference position is greater than a preset distance; and sending a signal to a target terminal indicating that the target vehicle is off-route.

IPC Classes  ?

  • G08B 25/01 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
  • H04W 4/029 - Location-based management or tracking services
  • G08G 1/005 - Traffic control systems for road vehicles including pedestrian guidance indicator
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G08G 1/0969 - Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
  • G08G 1/00 - Traffic control systems for road vehicles
  • H04W 4/90 - Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
  • G08B 25/08 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
  • H04W 4/024 - Guidance services
  • H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
  • G06F 3/00 - Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
  • G06Q 50/26 - Government or public services
  • G08B 21/02 - Alarms for ensuring the safety of persons
  • G08B 25/10 - Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems

11.

METHOD AND SYSTEM FOR CONTROLLING A FLOATING WINDOW

      
Application Number 18067678
Status Pending
Filing Date 2022-12-16
First Publication Date 2023-04-20
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Han, Shaoying

Abstract

A method may include acquiring a first operation on a terminal device. The first operation may be used to instruct the terminal device to execute a first application. The method may also include adding a first floating window on a display interface of the terminal device when the first application is executed. The first floating window may include a first state and a second state. The first floating window may be hidden on the display interface in the first state, and displayed on the display interface in the second state. The method may further include adding a second floating window associated with the first application after adding the first floating window. When a relative positional relationship of the first floating window and the second floating window satisfies a first preset condition, the first state of the first floating window may be switched to the second state.

IPC Classes  ?

  • G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
  • G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object

12.

Display screen for a computing device with graphic user interface

      
Application Number 29770014
Grant Number D0983213
Status In Force
Filing Date 2021-02-09
First Publication Date 2023-04-11
Grant Date 2023-04-11
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Zhu
  • Li, Lu
  • Zhao, Hanchen

13.

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

      
Application Number 18063649
Status Pending
Filing Date 2022-12-08
First Publication Date 2023-04-06
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Qiu, Linxiang
  • Chen, Qianhong

Abstract

The present disclosure may provide an information interaction method, apparatus, electronic device, and readable storage medium relating to the field of computer technology. The method may include: in response to monitoring that an expected pick-up location is within a preset coordinate range, displaying at least one pick-up area within the preset coordinate range, wherein the expected pick-up location is a coordinate point of a map; receiving a pick-up area selecting instruction, and determining a target pick-up area; determining a target pick-up location corresponding to the target pick-up area; determining a recommended route between a current location and the target pick-up location in response to receiving a submitting instruction for the target pick-up location; based on the recommended route, displaying route guidance information.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G01C 21/36 - Input/output arrangements for on-board computers

14.

METHOD AND SYSTEM FOR ACOUSTIC ECHO CANCELLATION

      
Application Number 18062556
Status Pending
Filing Date 2022-12-06
First Publication Date 2023-03-30
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Yi
  • Deng, Chengyun
  • Ma, Shiqian
  • Sha, Yongtao
  • Song, Hui

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for acoustic echo cancellation and suppression are provided. An exemplary method comprises receiving a far-end acoustic signal and a corrupted near-end acoustic signal, wherein the corrupted near-end acoustic signal is generated based on (1) an echo of the far-end acoustic signal and (2) a near-end acoustic signal; feeding the far-end acoustic signal and the corrupted near-end acoustic signal into a neural network as an input to output a time-frequency (TF) mask that suppresses the echo and retains the near-end acoustic signal, and generating an enhanced version of the corrupted near-end acoustic signal by applying the obtained TF mask to the corrupted near-end acoustic signal.

IPC Classes  ?

  • G06N 3/08 - Learning methods
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

15.

INDOOR NAVIGATION

      
Application Number 18052212
Status Pending
Filing Date 2022-11-03
First Publication Date 2023-03-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Teng, Xiaoqiang
  • Xu, Pengfei
  • Ma, Chaowei
  • Xu, Bin
  • Zhang, Jun
  • Meng, Yiping
  • Hu, Runbo
  • Chai, Hua

Abstract

In accordance with one implementation of the present disclosure, a new approach for determining a movement orientation of a user is proposed in indoor navigation. Generally speaking, a device orientation of a terminal device is obtained based on at least one signal stream collected from the terminal device carried by a moving user. A deviation degree is determined based on the at least one signal stream, here the deviation degree represents a deviation between a movement orientation of the user and an actual device orientation of the terminal device. The movement orientation is determined based on the device orientation in accordance with a determination that the deviation degree is below a threshold degree. With the above implementation, the movement orientation of the user is determined in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

IPC Classes  ?

  • G01C 21/20 - Instruments for performing navigational calculations
  • G01C 21/16 - Navigation; Navigational instruments not provided for in groups by using measurement of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
  • H04W 4/33 - Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
  • H04W 4/02 - Services making use of location information

16.

Method and system for evaluating and improving live translation captioning systems

      
Application Number 17479349
Grant Number 11715475
Status In Force
Filing Date 2021-09-20
First Publication Date 2023-03-23
Grant Date 2023-08-01
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Arkhangorodsky, Arkady
  • Chu, Christopher
  • Fang, Scot
  • Jiang, Denglin
  • Huang, Yiqi
  • Nagesh, Ajay
  • Zhang, Boliang
  • Knight, Kevin

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for evaluating and improving live translation captioning systems. An exemplary method includes: displaying a word in a first language; receiving a first audio sequence, the first audio sequence comprising a verbal description of the word; generating a first translated text in a second language; displaying the first translated text; receiving a second audio sequence, the second audio sequence comprising a guessed word based on the first translated text; generating a second translated text in the first language; determining a matching score between the word and the second translated text; determining a performance score of the live translation captioning system based on the matching score.

IPC Classes  ?

  • G06F 40/00 - Handling natural language data
  • G10L 15/32 - Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems
  • G10L 15/08 - Speech classification or search
  • G10L 15/06 - Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
  • G06F 40/49 - Data-driven translation using very large corpora, e.g. the web
  • G06F 40/51 - Translation evaluation
  • G06F 40/58 - Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
  • G10L 25/27 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the analysis technique

17.

METHODS, FIRST SERVICE REQUEST TERMINALS, SYSTEMS, AND ELECTRONIC DEVICES FOR INFORMATION DISPLAY

      
Application Number 18056727
Status Pending
Filing Date 2022-11-18
First Publication Date 2023-03-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Tihui
  • Cao, Yuchu

Abstract

The present disclosure provides a method, a first service requester, a system, and an electronic device for information display. The method may include obtaining a service request location where a first service requester is located when a carpooling request of the first service requester is received; determining dynamic carpooling information of at least one second service requester within a preset distance from the service request location during a carpooling process; and displaying the dynamic carpooling information of the at least one second service requester on a display interface of the first service request terminal. Therefore, the dynamic carpooling information of the at least one second service requester within the preset range from the service request location of the first service requester may be displayed to the first service requester during the time period waiting for the carpooling request of the first service requester to be responded, which can effectively enrich the display content of the service requester terminal, improve the transparency of the relevant information, fill the idle time that the user is waiting, and reduce the probability of the order cancellation.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G06Q 10/02 - Reservations, e.g. for tickets, services or events

18.

INDOOR NAVIGATION

      
Application Number 18052196
Status Pending
Filing Date 2022-11-02
First Publication Date 2023-03-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Teng, Xiaoqiang
  • Xu, Pengfei
  • Ma, Chaowei
  • Xu, Bin
  • Zhang, Jun
  • Meng, Yiping
  • Hu, Runbo
  • Chai, Hua

Abstract

In accordance with one implementation of the present disclosure, a new approach for identifying a stepping event is proposed in indoor navigation. Generally speaking, 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 are obtained, here 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. A first amplitude feature and a second amplitude feature are determined for the first and second time windows based on the first and second signal fragments, respectively. A stepping event of the user is identified based on a deviation between the first and second amplitude features. With the above implementation, the stepping event is identified in a more effective an accurate way, and thus accuracy of the indoor navigation is increased.

IPC Classes  ?

  • G01C 22/00 - Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers or using pedometers
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

19.

SYSTEMS AND METHODS FOR ONLINE TO OFFLINE SERVICES

      
Application Number 18055820
Status Pending
Filing Date 2022-11-15
First Publication Date 2023-03-09
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Zhang, Cheng

Abstract

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.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

20.

INFORMATION PUSHING METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

      
Application Number CN2022091743
Publication Number 2023/029557
Status In Force
Filing Date 2022-05-09
Publication Date 2023-03-09
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Chen, Yi
  • Zhang, Hongzhi

Abstract

Provided in the present application are an information pushing method and apparatus, and an electronic device and a storage medium. The information pushing method comprises: receiving a selection operation which is for a message pushing icon and is issued by a first user in a first display interface of a first target program, and displaying a second display interface, wherein the first display interface and the second display interface are two interfaces which both belong to the first target program; receiving a selection operation of the first user for a second user in a message user list to be pushed that is in the second display interface, and acquiring second user identification information corresponding to the second user selected by the first user; and in a second target program, pushing a target message to the second user by means of a second target program user identifier corresponding to the second user identification information, wherein the second target program and the first target program are two different programs. By means of the present application, the efficiency of a first user pushing a message to other users can be improved.

IPC Classes  ?

21.

SYSTEMS AND METHODS FOR VERIFYING DIGITAL PAYMENTS

      
Application Number 17953199
Status Pending
Filing Date 2022-09-26
First Publication Date 2023-01-19
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Zhai, Jinjian

Abstract

Embodiments of the disclosure provide systems and methods for verifying digital payments for a payment platform. The system includes a communication interface configured to receive service data associated with a transaction from a terminal device associated with a user of the payment platform. The system further includes at least one processor configured to automatically determine whether an authentication is waived for the transaction based on the received service data and a blacklist generated using a machine learning model. The blacklist includes a list of suspicious users and transaction behaviors. The at least one processor further configured to approve the transaction without requesting user authentication information from the terminal device when the authentication is waived. The at least one processor also configured to request the user authentication information from the terminal device and validate the user authentication information when the authentication is not waived.

IPC Classes  ?

  • G06Q 30/00 - Commerce
  • G06Q 10/10 - Office automation; Time management
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
  • G06Q 20/02 - Payment architectures, schemes or protocols involving a neutral third party, e.g. certification authority, notary or trusted third party [TTP]
  • G06N 20/00 - Machine learning
  • G06F 21/31 - User authentication
  • G06Q 20/32 - Payment architectures, schemes or protocols characterised by the use of specific devices using wireless devices

22.

Augmented passenger verification

      
Application Number 17944341
Grant Number 11847713
Status In Force
Filing Date 2022-09-14
First Publication Date 2023-01-05
Grant Date 2023-12-19
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Li, Dong
  • Zhu, Huaiyu
  • Shi, Junbo
  • Hu, Deyu
  • Chen, Jing
  • Zhang, Haocheng

Abstract

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.

IPC Classes  ?

  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06F 16/25 - Integrating or interfacing systems involving database management systems
  • H04L 9/40 - Network security protocols
  • G06Q 50/30 - Transportation; Communications

23.

ARTIFICIAL INTELLIGENT SYSTEMS AND METHODS FOR IDENTIFYING A DRUNK PASSENGER BY A CAR HAILING ORDER

      
Application Number 17663663
Status Pending
Filing Date 2022-05-16
First Publication Date 2022-12-29
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Guchao
  • Wang, Yizhen
  • Liu, Yashu

Abstract

The present disclosure relates to a system and a method for identifying a drunk passenger of a car hailing order. The system may perform the method to: obtain a plurality of samples from historical car hailing orders stored in a database; for each of the plurality of samples, using an application, extract a plurality of features including a passenger feature set, a driver feature set, and an order feature set, wherein the order feature set includes drunk-hotspot-relating features; and train a preliminary classification model based on the plurality of features and the plurality of samples to obtain a drunk model.

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • G06F 16/28 - Databases characterised by their database models, e.g. relational or object models

24.

SIMULATION FRAMEWORK FOR REAL TIME VEHICLE DISPATCHING ALGORITHMS EVALUATION

      
Application Number 17337127
Status Pending
Filing Date 2021-06-02
First Publication Date 2022-12-08
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Zhang, Fan
  • Tang, Xiaocheng
  • Qin, Zhiwei
  • Zhu, Hongtu

Abstract

Systems, methods, and non-transitory computer-readable media can construct a simulation framework for a ride sharing service. The simulation framework comprises a simulation environment and an agent comprising one or more algorithms including an order dispatching algorithm and a driver reposition algorithm. One or more states of the simulation environment include information about a plurality of drivers and a plurality of trip order requests, and can be provided to the agent. One or more actions from the agent can be obtained. The one or more actions comprises at least one of: a plurality of matches between the plurality of drivers and the plurality of trip order requests, or a plurality of reposition destinations for a subset of the plurality of drivers. The one or more states of the simulation environment can be updated based on the one or more actions.

IPC Classes  ?

  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06N 5/00 - Computing arrangements using knowledge-based models
  • G06N 20/20 - Ensemble learning
  • G06Q 50/30 - Transportation; Communications
  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

25.

TARGET DISCRIMATION METHOD AND SYSTEM

      
Application Number CN2022074706
Publication Number 2022/222569
Status In Force
Filing Date 2022-01-28
Publication Date 2022-10-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Mingwen
  • Zhang, Tianming
  • Zhao, Ningning

Abstract

Embodiments of the present description disclose a target discrimination method and system. The target discrimination method comprises: determining a first image sequence on the basis of a plurality of target images, the image capture time of the plurality of target images having a correspondence with the irradiation time of a plurality of lights in a lighting sequence irradiated on a target object; determining a second image sequence on the basis of a plurality of color template images, the plurality of color template images being generated on the basis of the lighting sequence; and on the basis of the first image sequence and the second image sequence, determining the authenticity of the plurality of target images.

IPC Classes  ?

  • G06V 10/40 - Extraction of image or video features

26.

TARGET IDENTIFICATION METHOD AND SYSTEM

      
Application Number CN2022076352
Publication Number 2022/222585
Status In Force
Filing Date 2022-02-15
Publication Date 2022-10-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Mingwen
  • Zhang, Tianming
  • Zhao, Ningning

Abstract

Disclosed in the embodiments of the present description are a target identification method and system. The target identification method comprises: acquiring a plurality of target images, wherein photographing times of the plurality of target images have a correlation with irradiation times of a plurality of illuminations in an illumination sequence that are irradiated to a target object, the plurality of illuminations have a plurality of colors, the plurality of colors comprise at least one reference color and at least one verification color, and each of the at least one verification color is determined on the basis of at least some of the at least one reference color; and determining the authenticity of the plurality of target images on the basis of the illumination sequence and the plurality of target images.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists

27.

IMAGE VERIFICATION METHOD AND SYSTEM, AND STORAGE MEDIUM

      
Application Number CN2022087565
Publication Number 2022/222904
Status In Force
Filing Date 2022-04-19
Publication Date 2022-10-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Mingwen
  • Zhang, Tianming
  • Zhao, Ningning

Abstract

Disclosed in the embodiments of the present description are an image verification method, system and apparatus, and a storage medium. The image verification method comprises: instructing a terminal device to emit at least two beams of colored light to a target; during the process of emitting the at least two beams of colored light, instructing the terminal device to collect a plurality of images of the target; selecting, from the plurality of images, at least two target images that respectively correspond to the at least two beams of colored light; on the basis of the at least two target images, determining a target verification code; and performing image authenticity verification by comparing the target verification code with a reference verification code corresponding to the at least two beams of colored light.

IPC Classes  ?

  • G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model

28.

METHOD AND SYSTEM FOR IDENTIFYING TARGET

      
Application Number CN2022087915
Publication Number 2022/222957
Status In Force
Filing Date 2022-04-20
Publication Date 2022-10-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Cheng, Bo
  • Zhang, Tianming

Abstract

The embodiments of the present description provide a method and system for identifying a target. The method comprises: acquiring at least one image capture parameter related to an image capture frame; sending an image capture instruction to a client, the image capture instruction instructing the client to display the image capture frame on the basis of the at least one image capture parameter; receiving at least one image from the client; and determining the authenticity of the at least one image on the basis of the at least one image capture parameter.

IPC Classes  ?

  • G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints

29.

SYSTEMS AND METHODS FOR RESOURCE ALLOCATION IN RIDE-HAILING PLATFORMS

      
Application Number 17238395
Status Pending
Filing Date 2021-04-23
First Publication Date 2022-10-27
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Huang, Tao
  • Qin, Zhiwei
  • Li, Qingyang

Abstract

Method, system, and non-transitory computer-readable storage media for determining optimal resource allocation are described. An example method includes: obtaining historical data comprising a plurality of features of different system configurations, a plurality of resource consumptions of the different system configurations, and a plurality of rewards respectively generated from the different system configurations; training a plurality of neural network (NN)-based encoders respectively corresponding to the different system configurations; encoding, using the plurality of trained NN-based encoders, the plurality of features in the historical data to obtain a plurality of encoded features of the different system configurations; training a multi-armed bandit (MAB) model; and generating, using the trained MAB model, a matrix of predicted rewards, each of the predicted rewards corresponding to an estimated reward generated by allocating an amount of resources to one of the different system configurations.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 10/02 - Reservations, e.g. for tickets, services or events
  • G06N 3/08 - Learning methods

30.

METHOD AND SYSTEM FOR TARGET RECOGNITION

      
Application Number CN2022075531
Publication Number 2022/222575
Status In Force
Filing Date 2022-02-08
Publication Date 2022-10-27
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Mingwen
  • Zhang, Tianming
  • Zhao, Ningning

Abstract

The embodiments of the present specification disclose a method and system for target recognition. The method for target recognition comprises: determining an illumination sequence, the illumination sequence being used to determine multiple colors of multiple illuminations emitted by a terminal when irradiating a target object; acquiring multiple target images on the basis of the terminal, the image capture times of the multiple target images having a correspondence with the irradiation times of the multiple illuminations; and determining, on the basis of the illumination sequence and the multiple target images, the authenticity of the multiple target images.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists

31.

METHODS AND SYSTEMS FOR VEHICLE VERIFICATION

      
Application Number 17808532
Status Pending
Filing Date 2022-06-23
First Publication Date 2022-10-20
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Xue, Taolue
  • Zhang, Tianming
  • Wang, Zhiheng
  • Wang, Shudong
  • Li, Jie
  • Meng, Hui
  • Chen, Tianyu
  • Dai, Guiting
  • Wu, Zhaohui
  • Zhou, Duoqing

Abstract

The present disclosure provides methods and systems for vehicle verification. The method may include receiving vehicle verification information related to a vehicle to be verified from a client, wherein the vehicle verification information includes a plurality of images acquired by the client via an imaging device, and the vehicle verification information responds to at least one vehicle verification instruction. The method may further include determining a verification result of the vehicle based on the vehicle verification information.

IPC Classes  ?

  • G06V 20/50 - Context or environment of the image
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

32.

Systems and methods for data synchronization

      
Application Number 17662837
Grant Number 11902378
Status In Force
Filing Date 2022-05-10
First Publication Date 2022-10-06
Grant Date 2024-02-13
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Chen, Gong

Abstract

The application discloses Systems and methods for a data synchronization. The system may include a receiving module, an instruction generating module and a sending module. The receiving module may be configured to receive the first instruction. The first instruction may be used to instruct the start of data acquisition of the system. In response to receiving the first instruction, the instruction generating module may be configured to generate a second instruction. The second instruction may be used to trigger at least two sensors to acquire data. The sending module may be configured to send second instruction to at least two sensors respectively based on the first delay. The first delay causes the time difference between at least two sensors starting to acquire data less than the first preset threshold.

IPC Classes  ?

  • H04L 12/70 - Packet switching systems
  • H04L 67/133 - Protocols for remote procedure calls [RPC]
  • H04L 7/00 - Arrangements for synchronising receiver with transmitter
  • H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

33.

SYSTEMS AND METHODS FOR VISUAL POSITIONING

      
Application Number 17807719
Status Pending
Filing Date 2022-06-18
First Publication Date 2022-10-06
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Bao, Ling
  • Xu, Bin
  • Du, Xiance
  • Zhang, Jun
  • Teng, Xiaoqiang
  • Ruan, Zhiwei
  • Zhou, Huanqing
  • Xu, Pengfei
  • Li, Ronghao
  • Hu, Runbo
  • Chai, Hua

Abstract

The embodiments of the present disclosure provide a visual positioning method, the method may include obtaining a positioning image collected by an imaging device; obtaining a three-dimensional (3D) point cloud map associated with an area where the imaging device is located; determining a target area associated with the positioning image from the 3D point cloud map based on the positioning image; and The embodiments of the present disclosure provide a visual positioning method, the method may include obtaining a positioning image collected by an imaging device; obtaining a three-dimensional (3D) point cloud map associated with an area where the imaging device is located; determining a target area associated with the positioning image from the 3D point cloud map based on the positioning image; and determining positioning information of the imaging device based on the positioning image and the target area.

IPC Classes  ?

  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
  • G06V 10/774 - Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
  • G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
  • G06T 7/10 - Segmentation; Edge detection
  • G06V 10/52 - Scale-space analysis, e.g. wavelet analysis
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging

34.

Number embedding application system

      
Application Number 17133211
Grant Number 11460982
Status In Force
Filing Date 2020-12-23
First Publication Date 2022-10-04
Grant Date 2022-10-04
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Knight, Kevin
  • Ryskina, Mariia

Abstract

Systems and methods are provided for using encoded representations of numbers in various applications. The encoded representations of numbers, also referred to as number embeddings, may be multi-element data structures (e.g., multi-dimensional vectors) in which each element is a real-numbered value. The values of a given number embedding collectively encode information from which properties of the number represented by the number embedding may be derived. Number embeddings may be compared or otherwise analyzed with respect to each other to identify patterns or similarities in the numbers represented by each number embedding.

IPC Classes  ?

  • G06F 17/16 - Matrix or vector computation
  • G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
  • G06N 5/04 - Inference or reasoning models
  • G06N 20/00 - Machine learning

35.

INTERACTION METHOD AND INTERACTION APPARATUS

      
Application Number CN2022077520
Publication Number 2022/199311
Status In Force
Filing Date 2022-02-23
Publication Date 2022-09-29
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Fang, Jun

Abstract

An interaction method and an interaction apparatus. After acquiring a path navigation information of a terminal, a server (12) determines road condition information of each road section according to a location of a target object relative to a corresponding lane of a corresponding road section in a road condition collection sequence of each road section in the previously acquired path navigation information, and after determining a target image corresponding to a road section in the road sections of which road condition information meets preset road conditions, sends the target image to the terminal. After receiving the target image, the terminal may perform, on a navigation page, rendering display on a road condition display control for displaying the target image. The location of each target object can be accurately determined by means of image recognition, and the road condition information of each road section is determined according to the location of each target object. Meanwhile, a road condition of a specific road section is displayed by means of a real scene image. Thus, the accuracy and timeliness of road condition determination are improved, such that a user can avoid a congested road section in a timely fashion.

IPC Classes  ?

  • G01C 21/36 - Input/output arrangements for on-board computers
  • G01C 21/20 - Instruments for performing navigational calculations
  • G01C 21/28 - Navigation; Navigational instruments not provided for in groups specially adapted for navigation in a road network with correlation of data from several navigational instruments

36.

SYSTEMS AND METHODS FOR OFF-ROUTE IDENTIFICATION

      
Application Number 17804085
Status Pending
Filing Date 2022-05-25
First Publication Date 2022-09-15
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Ye, Cichang
  • Sun, Beijia
  • An, Kaiqiang
  • Liu, Guoping

Abstract

Methods and systems for off-route identification may be provided. A first navigation route of an object that is traveling and one or more positioning location points during traveling may be obtained. Whether a first preset condition is satisfied may be determined based on a positional relationship between the one or more positioning location points and the first navigation route. In response to determining that the first preset condition is not satisfied, whether the object is off-route may be determined based on information associated with the traveling of the object.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G01C 21/36 - Input/output arrangements for on-board computers

37.

SYSTEMS AND METHODS FOR REPOSITIONING VEHICLES IN A RIDE-HAILING PLATFORM

      
Application Number 17518192
Status Pending
Filing Date 2021-11-03
First Publication Date 2022-09-01
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Li, Shuaiji
  • Tang, Xiaocheng
  • Qin, Zhiwei

Abstract

This disclosure describes systems and methods for repositioning vehicles. An exemplary method includes obtaining a plurality of current features associated with a vehicle located in one of the plurality of grid cells; inputting the plurality current features associated with the vehicle into a neural network; obtaining, from the neural network, a plurality of conditional action values for repositioning the vehicle to a plurality of target grid cells conditioned upon the plurality current features associated with the vehicle, wherein the plurality of target grid cells comprise the one grid cell that the vehicle is currently located in and other grid cells in the plurality of grid cells that are within two or more layers surrounding the one grid cell; and sending one or more of the plurality of target grid cells with highest conditional action values to the vehicle for repositioning.

IPC Classes  ?

  • G08G 1/00 - Traffic control systems for road vehicles
  • G06N 3/02 - Neural networks
  • G06F 9/30 - Arrangements for executing machine instructions, e.g. instruction decode
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

38.

Multi-task deep network for echo path delay estimation and echo cancellation

      
Application Number 17188406
Grant Number 11508351
Status In Force
Filing Date 2021-03-01
First Publication Date 2022-09-01
Grant Date 2022-11-22
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Zhang, Yi
  • Deng, Chengyun
  • Ma, Shiqian
  • Sha, Yongtao
  • Song, Hui

Abstract

A method of echo path delay destination and echo cancellation is described in this disclosure. The method includes: obtaining a reference signal, a microphone signal, and a trained multi-task deep neural network, wherein the multi-task deep neural network comprises a first neural network and a second neural network; generating, using the first neural network of the multi-task deep neural network, an estimated echo path delay based on the reference signal and the microphone signal; updating the reference signal based on the estimated echo path delay; and generating, using the second neural network of the multi-task deep neural network, an enhanced microphone signal based on the microphone signal and the updated reference signal.

IPC Classes  ?

  • H04B 3/20 - Reducing echo effects or singing; Opening or closing transmitting path; Conditioning for transmission in one direction or the other
  • G10K 11/178 - Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods
  • H03G 3/00 - Gain control in amplifiers or frequency changers

39.

SYSTEMS AND METHODS FOR ORDER DISPATCHING AND VEHICLE REPOSITIONING

      
Application Number 17182721
Status Pending
Filing Date 2021-02-23
First Publication Date 2022-08-25
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Tang, Xiaocheng
  • Zhang, Fan
  • Qin, Zhiwei

Abstract

A unified learning approach for large-scale ride-hailing is described, the approach includes obtaining an offline state value network for predicting a value of a vehicle state, the offline state value network being trained based on a plurality of historical vehicle trajectories; initializing an online state value network and dispatching a plurality of vehicles according to the online state value network for a period of time; training the online state value network based on vehicle states of the plurality of vehicles before and after the dispatching and rewards associated with the dispatching; ensembling the trained online state value network and the offline state value network to obtain an ensembled online state value network; and dispatching the plurality of vehicles according to the ensembled online state value network.

IPC Classes  ?

  • G08G 1/00 - Traffic control systems for road vehicles
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

40.

Integrating Contextual Bandit With Temporal Difference Learning For Pricing And Dispatch Of Transportation-Hailing Platform

      
Application Number 17618865
Status Pending
Filing Date 2019-06-14
First Publication Date 2022-08-18
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Chen, Haipeng
  • Qin, Zhiwei
  • Jiao, Yan
  • Tang, Xiaochen
  • An, Bo
  • Ye, Jieping

Abstract

Systems configured to dispatch transportation resources and related methods are described. The system including one or more digital devices configured to receive a request for a price for a transportation to a destination; receive destination information; and receive origin information. The system configured to in response to the request for the price, generate a price quote based on a price strategy and a dispatch strategy. The system configured to in response to the generated price quote, generate a response to the request for the price. And, the system configured to transmit the price quote over a network.

IPC Classes  ?

  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G06Q 50/30 - Transportation; Communications

41.

Reinforcement learning method for driver incentives: generative adversarial network for driver-system interactions

      
Application Number 17618864
Grant Number 11861643
Status In Force
Filing Date 2019-06-14
First Publication Date 2022-08-18
Grant Date 2024-01-02
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Shang, Wenjie
  • Li, Qingyang
  • Qin, Zhiwei
  • Meng, Yiping
  • Yu, Yang
  • Ye, Jieping

Abstract

A system and method of determining a policy to prevent fading drivers is described. The system and method creates virtual trajectories of incentives such as coupons offered to drivers in a transportation hailing system and corresponding states of drivers in response to the incentives. A joint policy simulator is created from an incentive policy, a confounding incentive policy, and an incentive object policy to generate the simulated actions of drivers in response to different incentives. The rewards of the simulated actions of the drivers is determined by a discriminator. The incentive policy for preventing fading drivers is optimized by reinforcement learning based on the virtual trajectories generated by the joint policy simulator and discriminator.

IPC Classes  ?

  • G06N 3/08 - Learning methods
  • G06Q 50/30 - Transportation; Communications
  • G06Q 30/0211 - Determining the effectiveness of discounts or incentives
  • G06Q 30/0208 - Trade or exchange of goods or services in exchange for incentives or rewards
  • G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates

42.

METHOD AND APPARATUS FOR DOMAIN ADAPTATION LEARNING, AND DEVICE, MEDIUM AND PRODUCT

      
Application Number CN2022072612
Publication Number 2022/166578
Status In Force
Filing Date 2022-01-18
Publication Date 2022-08-11
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Xu, Pengfei
  • Wang, Yatian
  • Song, Xiaolin
  • Zhao, Sicheng

Abstract

The present disclosure relates to a method and apparatus for domain adaptation learning, and a device, a medium and a product. The method described herein comprises: acquiring a source video sample set of a source domain and a target video sample set of a target domain, wherein source video samples in the source video sample set are marked as belonging to one of a plurality of known categories; on the basis of a plurality of similarities between a plurality of target video samples in the target video sample set and the source video sample set, determining the probability of each of the plurality of target video samples belonging to an unknown category; and at least on the basis of the plurality of target video samples and the corresponding probabilities thereof, making a multi-classification model, which is previously pre-trained by using the source video sample set, adaptive to the target domain. Therefore, more reliable domain adaptation learning for video classification can be realized.

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means

43.

Regularized Spatiotemporal Dispatching Value Estimation

      
Application Number 17618862
Status Pending
Filing Date 2019-06-14
First Publication Date 2022-08-11
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Tang, Xiaocheng
  • Qin, Zhiwei
  • Ye, Jieping

Abstract

A system for evaluating order dispatching policy includes a first computing device, at least one processor, and a memory. The first computing device is configured to generate historical driver data associated with a driver. The at least one processor is configured to store instructions. When executed by the at least one processor, the instructions cause the at least one processor to perform operations. The operations performed by the at least one processor includes obtaining the generated historical driver data associated with the driver. Based at least in part on the obtained historical driver data, a value function is estimated. The value function is associated with a plurality of order dispatching policies. An optimal order dispatching policy is then determined. The optimal order dispatching policy is associated with an estimated maximum value of the value function. The estimation of the value function applies a feed-forward neutral network

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 50/30 - Transportation; Communications
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

44.

MULTI-CLUE REASONING WITH MEMORY AUGMENTATION FOR KNOWLEDGE-BASED VISUAL QUESTION ANSWERING

      
Application Number CN2021076117
Publication Number 2022/165858
Status In Force
Filing Date 2021-02-08
Publication Date 2022-08-11
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Che, Zhengping
  • Yin, Chengxiang
  • Wu, Kun
  • Xu, Zhiyuan
  • Tang, Jian

Abstract

Embodiments of the disclosure provide a method for knowledge-based visual question answering, a system, and a computer program product thereof. The method includes storing the candidate supporting facts in memory slots. The method further includes generating a second visual-semantic representation for the image-question pair. The method additionally includes applying a first set of attentions over the memory slots storing the candidate supporting facts, to obtain a memory summary based on the second visual-semantic representation of the image-question pair. The method additionally includes applying a second set of attentions to generate a third visual-semantic representation of the image-question pair based on the obtained memory summary. The method additionally includes generating an updated visual-semantic representation of the image-question pair based on the third visual-semantic representation. The method additionally includes identifying a candidate supporting fact with a highest probability as a target supporting fact for the answer to the question related to the image.

IPC Classes  ?

  • G06K 9/72 - Methods or arrangements for recognition using electronic means using context analysis based on the provisionally recognised identity of a number of successive patterns, e.g. a word
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

45.

BATTERY STATE OF HEALTH PREDICTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number CN2021138740
Publication Number 2022/161002
Status In Force
Filing Date 2021-12-16
Publication Date 2022-08-04
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Yang, Jing
  • Liu, Feng
  • Huang, Zhixin
  • Yang, Lei
  • Zhou, Wencan
  • Zhang, Xing
  • Li, Dan

Abstract

A battery state of health prediction method and apparatus, and an electronic device and a readable storage medium, which relate to the technical field of computers. The method may comprise: determining, by means of a preset first correlation, the current state of health corresponding to the current driving mileage of a target electric vehicle (22); and then, on the basis of a pre-trained machine learning model and by comprehensively taking the current battery state of health, the current driving mileage and the current battery parameter into consideration, predicting a target battery state of health corresponding to a target driving mileage of the target electric vehicle (23). During a prediction process, a prediction result is more accurate by combining a current battery state of health.

IPC Classes  ?

  • G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables

46.

SYSTEMS AND METHODS FOR IMAGE QUALITY DETECTION

      
Application Number 17658819
Status Pending
Filing Date 2022-04-11
First Publication Date 2022-08-04
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Gao, Haitao
  • Zhang, Yifei
  • Li, Guozhen
  • Li, Youzeng
  • Yan, Zhangxi
  • Li, Peilun

Abstract

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.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06V 10/422 - Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

47.

METHODS AND SYSTEMS FOR RECOMMENDING PICK-UP POINTS

      
Application Number 17660408
Status Pending
Filing Date 2022-04-23
First Publication Date 2022-08-04
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhao, Yichen
  • Liu, Qian
  • Shen, Chao
  • He, Minghui
  • Yang, Jiantao
  • Shu, Weihuan
  • Ma, Li

Abstract

The present disclosure provides methods and systems for recommending pick-up points. The method may include obtaining information of a searched point of interest determined by a user; determining a first set of candidate pick-up points based at least on the information of the searched point of interest, the first set of candidate pick-up points including a plurality of candidate pick-up points; determining at least one recommended pick-up point through a preset algorithm based at least on the first set of candidate pick-up points, and displaying the at least one recommended pick-up point to the user.

IPC Classes  ?

  • H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
  • G01C 21/00 - Navigation; Navigational instruments not provided for in groups
  • G06F 16/2457 - Query processing with adaptation to user needs
  • H04W 4/02 - Services making use of location information

48.

METHOD AND APPARATUS FOR PRESENTING ROAD INFORMATION

      
Application Number CN2022071006
Publication Number 2022/156553
Status In Force
Filing Date 2022-01-10
Publication Date 2022-07-28
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Bai, Bing
  • Xing, Tengfei
  • Wang, Zhihui
  • Xu, Pengfei

Abstract

A method and apparatus for presenting road information, a device, a storage medium, and a program product. The method comprises: presenting a road visual element (184) associated with a target road (110) (402); and in response to determining that the congestion degree of the target road (110) is higher than a predetermined threshold, presenting at least one road condition image (182) in association with the road visual element (184), the at least one road condition image (182) being selected from a group of road condition images (140) that are used for determining the congestion degree, and the group of road condition images (140) being acquired by an image acquisition device (130) associated with a vehicle (120) traveling on the target road (110) (404). On the basis of this mode, more accurate road condition information can be provided for a user in a more intuitive mode.

IPC Classes  ?

  • G08G 1/0967 - Systems involving transmission of highway information, e.g. weather, speed limits

49.

METHOD FOR ENCRYPTING VERIFICATION CODE IMAGE, AND DEVICE, STORAGE MEDIUM AND COMPUTER PROGRAM PRODUCT

      
Application Number CN2022071004
Publication Number 2022/156552
Status In Force
Filing Date 2022-01-10
Publication Date 2022-07-28
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Wang, Hao
  • Zhang, Tianming
  • Wang, Zhiheng
  • Zhou, Shiqi

Abstract

The embodiments of the present disclosure relate to a method for encrypting a verification code image, and a device, a storage medium and a computer program product. The method comprises: generating an original verification code image, wherein the original verification code image corresponds to a first character string; determining scramble gradient information of the original verification code image according to a second character string, wherein the scramble gradient information comprises an adjustment gradient of each pixel in the original verification code image, and the second character string is a scramble character string of the first character string; and adjusting the original verification code image according to the scramble gradient information, so as to generate an encrypted verification code image, wherein a neural network recognition result of the encrypted verification code image is the second character string. By using the method, the security of a verification code image can be improved, thereby effectively preventing malicious registration behavior.

IPC Classes  ?

50.

KEYBOARD ENCRYPTION METHOD, AND DEVICE, STORAGE MEDIUM AND COMPUTER PROGRAM PRODUCT

      
Application Number CN2022072040
Publication Number 2022/156609
Status In Force
Filing Date 2022-01-14
Publication Date 2022-07-28
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Wang, Hao
  • Zhang, Tianming
  • Xue, Taolue
  • Wang, Zhiheng
  • Zhou, Shiqi

Abstract

The embodiments of the present disclosure relate to a keyboard encryption method, and a device, a storage medium and a computer program product. The method comprises: performing feature extraction on a keyboard character image, so as to determine a feature of the keyboard character image; determining a fusion feature according to the feature of the keyboard character image and a feature of a wrong keyboard character; determining an encrypted keyboard character image according to the fusion feature, wherein the wrong keyboard character is different from the character corresponding to the keyboard character image; and constructing an encrypted keyboard on the basis of the encrypted keyboard character image, wherein a neural network recognition result of the encrypted keyboard character image is a wrong keyboard character, and the encrypted keyboard character image has the same visual recognition result as the keyboard character image. By using the method, the security of a keyboard can be improved, thereby effectively preventing the occurrence of malicious registration behavior.

IPC Classes  ?

  • G06F 21/60 - Protecting data
  • G06F 21/83 - Protecting input, output or interconnection devices input devices, e.g. keyboards, mice or controllers thereof
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods

51.

GEOLOCATION TRAJECTORY BASED GUEST RIDER DETERMINATION

      
Application Number US2022070073
Publication Number 2022/155628
Status In Force
Filing Date 2022-01-06
Publication Date 2022-07-21
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Zhendong
  • Ge, Fangfei
  • Chen, Xin
  • Zhang, Wentian
  • Yuan, Yifang

Abstract

A ride-sharing system can automatically and autonomously determine whether a rider is an account holder associated with an account of a ride-sharing service that requested a ride or a guest rider. A guest rider detection system can use geolocation data to determine whether a rider is a guest rider or an account holder. The system can obtain location data for an account holder that requests a ride using a ride sharing application. The location data of the account holder can be compared with one or more locations (e.g., pickup or drop off location) associated with the requested ride. Based at least in part on the comparisons between the location data of the account holder and the one or more locations associated with the requested ride, the system can determine with a particular degree of certainty whether the rider is the guest rider or the account holder.

IPC Classes  ?

  • G06Q 50/30 - Transportation; Communications
  • G06Q 50/10 - Services
  • H04W 4/02 - Services making use of location information
  • H04W 4/60 - Subscription-based services using application servers or record carriers, e.g. SIM application toolkits

52.

NAVIGATION METHOD AND APPARATUS

      
Application Number CN2022071005
Publication Number 2022/152081
Status In Force
Filing Date 2022-01-10
Publication Date 2022-07-21
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Ronghao
  • Xu, Pengfei
  • Wang, Liang
  • Xu, Bin
  • Ma, Chaowei
  • Cai, Chao
  • Zhang, Song
  • Zhang, Lei
  • Liu, Tao
  • Yang, Tao
  • Hu, Meng
  • Zhou, Kang
  • Ma, Li
  • Hu, Runbo

Abstract

A navigation method and apparatus, a device, a storage medium and a program product. A method comprises: acquiring a destination position associated with a first object, wherein the destination position is also associated with a second object, and the destination position indicates a predetermined site at which the first object can meet the second object (202); determining the current position of the first object (204); and providing a navigation interface, the navigation interface comprising navigation elements superimposed on a real-scene image associated with the current position, the navigation elements being determined on the basis of the destination position and the current position (206). The present invention can provide intuitive navigation for objects to meet, thereby increasing the efficiency of meeting between objects.

IPC Classes  ?

53.

Geolocation trajectory based guest rider determination

      
Application Number 17149054
Grant Number 11562306
Status In Force
Filing Date 2021-01-14
First Publication Date 2022-07-14
Grant Date 2023-01-24
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Li, Zhendong
  • Ge, Fangfei
  • Chen, Xin
  • Zhang, Wentian
  • Yuan, Yifang

Abstract

A ride-sharing system can automatically and autonomously determine whether a rider is an account holder associated with an account of a ride-sharing service that requested a ride or a guest rider. A guest rider detection system can use geolocation data to determine whether a rider is a guest rider or an account holder. The system can obtain location data for an account holder that requests a ride using a ride sharing application. The location data of the account holder can be compared with one or more locations (e.g., pickup or drop off location) associated with the requested ride. Based at least in part on the comparisons between the location data of the account holder and the one or more locations associated with the requested ride, the system can determine with a particular degree of certainty whether the rider is the guest rider or the account holder.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

54.

SEMANTIC-ASSISTED MULTI-RESOLUTION POINT CLOUD REGISTRATION

      
Application Number 17701496
Status Pending
Filing Date 2022-03-22
First Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Zhu, Xiaoling

Abstract

Systems and methods for registering point clouds are provided. An exemplary method includes parsing semantic information from source and target point clouds, segmenting points in the source point cloud into first and second groups based on the semantic information, segmenting points in the target point cloud into third and fourth groups based on the semantic information, determining an initial pose of the source point cloud by registering the first group of points in the source point cloud to the third group of points in the target point cloud according to a first resolution, and adjusting the initial pose of the source point cloud by registering the second group of points in the source point cloud to the fourth group of points in the target point cloud according to a second resolution, wherein the second resolution is different from the first resolution.

IPC Classes  ?

  • G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration
  • G06T 7/10 - Segmentation; Edge detection
  • G06T 7/70 - Determining position or orientation of objects or cameras

55.

SYSTEMS AND METHODS FOR DETECTING ROAD MARKINGS FROM A LASER INTENSITY IMAGE

      
Application Number 17702203
Status Pending
Filing Date 2022-03-23
First Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Li, Mengxue

Abstract

Embodiments of the disclosure provide systems and methods for detecting road markings from a laser intensity image. An exemplary method may include receiving, by a communication interface, the laser intensity image acquired by a sensor. The method may also include segmenting the laser intensity image into a plurality of road segments, and dividing a road segment into a plurality of sub-images. The method may further include generating a road marking image corresponding to each of the sub-images based on a semantic segmentation method using a learning model and generating an overall road marking image for the road segment by piecing together the road marking images corresponding to the sub-images of the road segment.

IPC Classes  ?

  • G06V 20/10 - Terrestrial scenes
  • G06V 10/26 - Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
  • G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
  • G06V 10/20 - Image preprocessing
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

56.

METHOD AND APPARATUS FOR OPTIMIZING JOURNEY OF USER, ELECTRONIC DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT

      
Application Number CN2021137825
Publication Number 2022/143146
Status In Force
Filing Date 2021-12-14
Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Bai, Ning
  • Zhang, Lei
  • Liu, Tao
  • Shen, Chao

Abstract

The embodiments of the present description relate to a method and apparatus for optimizing a journey of a user, an electronic device, a storage medium, and a computer program product. In the method, a desired drop-off place for a journey by a user is determined. If it is determined that the desired drop-off place is located at a no-stop road section, a new drop-off place for the journey is determined. Then, instead of the desired drop-off place, a new candidate drop-off place is displayed to the user and an indication relating to the desired drop-off place being located at a no-stop road section is displayed. Further provided are a corresponding apparatus, an electronic device, and a storage medium. By using the described implementation means, it is possible to optimize the journey of a user by displaying a new drop-off place to the user instead of a desired drop-off place.

IPC Classes  ?

  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

57.

METHOD AND APPARATUS FOR USE IN RECOMMENDING PICKUP SPOT, DEVICE, MEDIUM, AND PROGRAM PRODUCT

      
Application Number CN2021141861
Publication Number 2022/143595
Status In Force
Filing Date 2021-12-28
Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Lei
  • Bai, Ning
  • Liu, Tao
  • Shen, Chao

Abstract

Provided in embodiments of the present description are a method and apparatus for use in recommending a pickup spot, a device, a medium, and a program product. The method provided comprises: providing a first position located in a stopping-permitted road section to a service requester as a target pickup spot; if a determination is made that the service requester attempts to change the target pickup spot from the first position to a second position located in a stopping-prohibited road section, automatically changing the target pickup spot to a third position located in a stopping-permitted road section; and providing a stopping-prohibited prompt regarding stopping-prohibited road sections to the service requester. By such means, the service requester could easily understand and accept the transfer of the target pickup spot to a safe stopping-permitted zone.

IPC Classes  ?

  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

58.

METHOD, APPARATUS, AND DEVICE FOR USE IN PROMPTING NO-PARKING ROAD SECTION, MEDIUM, AND PROGRAM PRODUCT

      
Application Number CN2021141877
Publication Number 2022/143601
Status In Force
Filing Date 2021-12-28
Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Lei
  • Bai, Ning
  • Liu, Tao
  • Shen, Chao

Abstract

Provided in the embodiments of the present description are a method, apparatus, and device for use in prompting a no-parking road section, a computer-readable storage medium, and a computer program product, applicable in the field of intelligent traffic. The method of the present description comprises: determining a stop associated with a trip; determining a set of no-parking road sections in the vicinity of the stop; and if the distance between a transport and at least one no-parking road section in the set of no-parking road sections is determined to be less than a first threshold distance, issuing a prompt related to the set of no-parking road sections by means of a terminal associated with the trip. The embodiments of the present description effectively reduce the probability of a user parking illegally, thus enhancing user experience.

IPC Classes  ?

59.

Hierarchical Coarse-Coded Spatiotemporal Embedding For Value Function Evaluation In Online Order Dispatching

      
Application Number 17618861
Status Pending
Filing Date 2019-06-14
First Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Tang, Xiaocheng
  • Qin, Zhiwei
  • Zhang, Fan
  • Ye, Jieping

Abstract

A system for evaluating order dispatching policy includes a first computing device, at least one processor, and a memory. The first computing device is configured to generate historical driver data associated with a driver. The at least one processor is configured to store instructions. When executed by the at least one processor, the instructions cause the at least one processor to perform operations. The operations performed by the at least one processor includes obtaining the generated historical driver data associated with the driver. Based at least in part on the obtained historical driver data, a value function is estimated. The value function is associated with a plurality of order dispatching policies. An optimal order dispatching policy is then determined. The optimal order dispatching policy is associated with an estimated maximum value of the value function. The estimation of the value function applies a cerebellar model arithmetic controller.

IPC Classes  ?

60.

METHOD AND APPARATUS FOR OPTIMIZING BOARDING POINT, DEVICE, MEDIUM, AND PROGRAM PRODUCT

      
Application Number CN2021141610
Publication Number 2022/143517
Status In Force
Filing Date 2021-12-27
Publication Date 2022-07-07
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Lei
  • Bai, Ning
  • Liu, Tao
  • Shen, Chao

Abstract

A method and apparatus for optimizing a boarding point, a device, a medium, and a program product. The method proposed therein comprises determining a target boarding point of a service requester (110), a service provider (120) needing to arrive at the target boarding point to pick up the service requester (110); determining whether the target boarding point is located on a parking restriction road section; and if determining that the target boarding point is located on the parking restriction road section, providing prompt information for the service requester (110) on the basis of relative positioning states of the service provider (120) and the target boarding point, the prompt information at least comprising parking restriction information for indicating the parking restriction characteristics of the target boarding point. According to the method, by indicating the service requester (110) with the parking restriction characteristics, the service requester (110) can be guided to board as soon as possible within a reasonable time, such that a dwell time of a vehicle of the service provider (120) on the parking restriction road section can be avoided, thereby avoiding the triggering of a parking restriction penalty on the road section, and ensuring smooth and safe road traffic.

IPC Classes  ?

61.

SYSTEMS AND METHODS FOR IDENTITY RISK ASSESSMENT

      
Application Number CN2020137874
Publication Number 2022/133632
Status In Force
Filing Date 2020-12-21
Publication Date 2022-06-30
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Zhendong
  • Yu, Yunhan
  • Liu, Fengyi

Abstract

A method for identity risk assessment may include receiving a target identity (ID) verification event of a first user account from a user terminal, the target ID verification event including a target ID number. The method may also include obtaining a first feature associated with the first user account and a second feature associated with the target ID number based on the target ID verification event. The method may also include determining whether the target ID verification event is a malicious ID verification event using a risk assessment model to analyze the first feature and the second feature. In response to determining that the target ID verification event is a malicious ID verification event, the method may further include blocking at least one of the first user account and the target ID number.

IPC Classes  ?

  • H04L 29/06 - Communication control; Communication processing characterised by a protocol

62.

DATA PROCESSING METHOD, SYSTEM, DEVICE, EQUIPMENT, AND STORAGE MEDIUM

      
Application Number CN2021123759
Publication Number 2022/134754
Status In Force
Filing Date 2021-10-14
Publication Date 2022-06-30
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Liu, Lian
  • Sun, Yiqiang

Abstract

A method, an apparatus, a device, and a medium for use in data processing. The method comprises: acquiring a target image associated with a target object, the target image having spots, the spots being generated by the target object reflecting a laser beam of a specific wavelength (210); determining from the target image a target sub-image associated with a specific part of the target object (220); and performing a living body detection with respect to the target object on the basis of the target sub-image (230). By such means, whether the target object is a live user can be determined accurately and efficiently.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

63.

SYSTEMS AND METHODS FOR OBTAINING ESTIMATED TIME OF ARRIVAL IN ONLINE TO OFFLINE SERVICES

      
Application Number CN2020136374
Publication Number 2022/126354
Status In Force
Filing Date 2020-12-15
Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Luo, Qing
  • Wang, Zheng

Abstract

A method may include receiving a service request; obtaining a route linking the starting location and the destination; obtaining one or more global features associated with the service request; using a first model to analyze the one or more global features associated with the service request to produce a global vector for the service request; using a second model to analyze the features of each of the road segment to produce a local segment vector for each of the road segments; determining a segment weight of the global vector for each road segment based on the global vector and its corresponding local segment vector; obtaining a global segment vector for each road segment based on its corresponding segment weight and the global vector; obtaining a segment vector for each road segment by combining its corresponding local and global segment vectors; obtaining the ETA for the service request based on the segment vectors.

IPC Classes  ?

  • G01C 21/00 - Navigation; Navigational instruments not provided for in groups
  • G01C 21/30 - Map- or contour-matching

64.

METHOD AND SYSTEM FOR UPLIFT PREDICTION OF ACTIONS

      
Application Number CN2021131840
Publication Number 2022/127514
Status In Force
Filing Date 2021-11-19
Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Huang, Tao
  • Qin, Zhiwei
  • Li, Qingyang
  • Shang, Wenjie

Abstract

A computer-implemented method for determining incentive distribution includes: obtaining, by a computing device, a computer model, the computer model being configured to: obtain state information of a user of a platform and an incentive action of the platform, and generate simulation results on at least one performance criterion of the platform with and without the incentive action being provided to the user; receiving a computing request comprising state information of one or more visiting users; determining, by feeding the state information and the incentive action to the computer model, an uplift on the at least one performance criterion by providing the incentive action. By evaluating the uplift effect based on statistical distribution of the order and reward, the activeness of the user, and counter-factual balance of the data, the method improves the accuracy of the uplift prediction, thereby improving efficiency and accuracy of the incentive distribution.

IPC Classes  ?

  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising

65.

SYSTEMS AND METHODS FOR TRAINING MACHINE LEARNING MODEL BASED ON CROSS-DOMAIN DATA

      
Application Number 17131790
Status Pending
Filing Date 2020-12-23
First Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhao, Zhen
  • Guo, Yuhong

Abstract

Systems and methods for training an initial machine learning model is provided. The system may train an initial machine learning model using source domain training data with sample labels and target domain training data without sample labels. The initial machine learning model may include a feature extraction unit, a first processing unit, and an adversarial unit, wherein the first processing unit is associated with a first loss function, and the adversarial unit is associated with a second loss function. In some embodiments, the initial machine learning model may also include a second processing unit. A third loss function that reflects the consistency of the first processing unit and the second processing unit may be determined. The initial machine learning model may be trained based on the feature extraction unit, the first processing unit, the adversarial unit, and the second processing unit.

IPC Classes  ?

66.

DYNAMIC DISPLAY OF ROUTE RELATED CONTENT DURING TRANSPORT BY A VEHICLE

      
Application Number US2021072569
Publication Number 2022/133383
Status In Force
Filing Date 2021-11-23
Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Farmer, Kenneth
  • Baruffaldi, Paola, Giovanna, Piacentini

Abstract

Systems and methods are disclosed configured to receive a ride request from an application hosted on a device of a user. A vehicle is routed to a pickup location. A route is generated configured to navigate the vehicle to a destination. Sensor data indicative of ride quality is monitored while the vehicle is navigating the generated route, wherein the sensor data comprises data indicating at least how bumpy the ride is and/or whether a sudden braking event occurred. When an adverse ride condition is detected, a determination is made that a content item is to be transmitted to a display device. A geofence is generated about the destination using a user content interaction history. The first item of content is selected based at least in part on an identification of an establishments within the geofence. The selected item of content is transmitted to the display device and the user may be transported to the pickup location within the geofence.

IPC Classes  ?

  • G01C 21/34 - Route searching; Route guidance
  • G01C 21/36 - Input/output arrangements for on-board computers
  • G06Q 50/30 - Transportation; Communications

67.

SYSTEMS AND METHODS FOR SIMULATING TRANSPORTATION ORDER BUBBLING BEHAVIOR

      
Application Number CN2021131851
Publication Number 2022/127516
Status In Force
Filing Date 2021-11-19
Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Shang, Wenjie
  • Li, Qingyang
  • Qin, Zhiwei

Abstract

A method includes: selecting a current discount strategy according to a simulation result of a simulator of a machine learning model, wherein the simulation result comprises simulations of future transportation order bubbling in response to discounts given to current transportation order bubbling; obtaining a plurality of bubbling features of a transportation plan of a user, wherein the plurality of bubbling features comprise (i) a bubble signal comprising time information and location information corresponding to the transportation plan (ii) a supply and demand signal comprising transportation supply-demand information corresponding to the transportation plan, and (iii) a transportation order history signal of the user; determining a discount signal according to the plurality of bubbling features and the current discount strategy; and transmitting the discount signal to a computing device of the user.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 50/30 - Transportation; Communications
  • G06N 20/00 - Machine learning

68.

HIERARCHICAL ADAPTIVE CONTEXTUAL BANDITS FOR RESOURCE-CONSTRAINED RECOMMENDATION

      
Application Number CN2021131854
Publication Number 2022/127517
Status In Force
Filing Date 2021-11-19
Publication Date 2022-06-23
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Qingyang
  • Qin, Zhiwei

Abstract

A computer-implemented method includes: obtaining a model comprising an environment module, a resource allocation module, and a personal recommendation module, receiving a real-time online signal of visiting the platform from a computing device of a visiting user; determining a resource allocation action by feeding user contextual data of the visiting user to the model; and based on the determined resource allocation action, transmitting a return signal to the computing device to present the resource allocation action.

IPC Classes  ?

69.

SYSTEMS AND METHODS FOR IMPROVING SECURITY

      
Application Number 17644336
Status Pending
Filing Date 2021-12-14
First Publication Date 2022-06-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Ni, Zetian
  • Yi, Zihan
  • Yang, Kaidan
  • Chen, Xin

Abstract

The present disclosure provides a system for improving security. The system may identify a query associated with a user account, and access an ID graph database to obtain an ID graph relating to the user account by a database driver. The system may also determine whether the user account is a target account type based at least on the ID graph. The ID graph may include a plurality of nodes and a plurality of edges. Each of the plurality of edges may connect two nodes. Each of the plurality of nodes may include at least one of a register ID, a login ID, a payment ID, a background check ID, or a face ID. Each edge that connects two nodes may include at least one of a user type associated with the two nodes, a timestamp when the edge is connected, or source information of the edge.

IPC Classes  ?

70.

Task-oriented dialog system and method through feedback

      
Application Number 17118845
Grant Number 11735165
Status In Force
Filing Date 2020-12-11
First Publication Date 2022-06-16
Grant Date 2023-08-22
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor Fang, Scot

Abstract

An automatic agent may be improved through feedback. A user input may be received through a user interface. A plurality of current utterance variables may be obtained by tokenizing the user input. The automatic agent may execute a machine learning policy to generate a reply to the user input based on the plurality of current utterance variables. A different reply may be obtained in response to an indication that the reply will lead to a breakdown, wherein the breakdown comprises an unhuman response from the automatic agent according to the machine learning policy. The machine learning policy may be adjusted based on the plurality of current utterance variables and the different reply.

IPC Classes  ?

  • G10L 15/06 - Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G06F 3/16 - Sound input; Sound output
  • G10L 15/01 - Assessment or evaluation of speech recognition systems
  • G06F 40/56 - Natural language generation
  • G06N 20/00 - Machine learning
  • G06F 9/451 - Execution arrangements for user interfaces

71.

Dynamic display of route related content during transport by a vehicle

      
Application Number 17124355
Grant Number 11367108
Status In Force
Filing Date 2020-12-16
First Publication Date 2022-06-16
Grant Date 2022-06-21
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Farmer, Kenneth
  • Piacentini Baruffaldi, Paola Giovanna

Abstract

Systems and methods are disclosed configured to receive a ride request from an application hosted on a device of a user. A vehicle is routed to a pickup location. A route is generated configured to navigate the vehicle to a destination. Sensor data indicative of ride quality is monitored while the vehicle is navigating the generated route, wherein the sensor data comprises data indicating at least how bumpy the ride is and/or whether a sudden braking event occurred. When an adverse ride condition is detected, a determination is made that a content item is to be transmitted to a display device. A geofence is generated about the destination using a user content interaction history. The first item of content is selected based at least in part on an identification of an establishments within the geofence. The selected item of content is transmitted to the display device and the user may be transported to the pickup location within the geofence.

IPC Classes  ?

  • G06Q 30/00 - Commerce
  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06N 3/06 - Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
  • H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
  • H04W 4/02 - Services making use of location information
  • G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
  • G01C 21/36 - Input/output arrangements for on-board computers

72.

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

      
Application Number 17059247
Status Pending
Filing Date 2020-06-02
First Publication Date 2022-06-16
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Zhou, Fan
  • Tang, Xiaocheng
  • Qin, Zhiwei
  • Zhang, Fan
  • Zhu, Hongtu

Abstract

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.

IPC Classes  ?

  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06Q 50/30 - Transportation; Communications
  • G01C 21/34 - Route searching; Route guidance

73.

SYSTEMS AND METHODS FOR CONSTRUCTING MAP

      
Application Number CN2020135321
Publication Number 2022/120733
Status In Force
Filing Date 2020-12-10
Publication Date 2022-06-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • He, Xudong
  • Wang, Yanke
  • Wang, Minkang

Abstract

Systems and methods for map construction. The systems may include a processing circuit connected to a first sensor and a second sensor. The systems may perform the methods to receive first data including location-orientation information of a vehicle obtained by the first sensor (610); receive second data including road-surroundings information of the vehicle obtained by the second sensor (620); correct the first data based on the second data (630); and construct a map based on the corrected first data and the second data (640).

IPC Classes  ?

  • G01C 21/32 - Structuring or formatting of map data
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging

74.

SYSTEM AND METHOD FOR TASK CONTROL BASED ON BAYESIAN META-REINFORCEMENT LEARNING

      
Application Number CN2021131845
Publication Number 2022/121665
Status In Force
Filing Date 2021-11-19
Publication Date 2022-06-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zou, Yayi
  • Qin, Zhiwei

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for task control based on Bayesian Meta-Reinforcement learning. An exemplary method includes obtaining a base machine learning (ML) model trained based on historical data collected from historical tasks. The base ML model represents a prior distribution of model parameters in a neural network representing control policies. The exemplary method further includes receiving observed data from a new control task; training a task-level ML model based on the base ML model and the observed data, wherein the task-level ML model represents a posterior distribution of the model parameters; sampling, based on the posterior distribution of the model parameters, a set of the model parameters that represent a control policy; and applying the control policy in performing the new control task.

IPC Classes  ?

75.

VEHICLE REPOSITIONING ON MOBILITY-ON-DEMAND PLATFORMS

      
Application Number 17058571
Status Pending
Filing Date 2020-07-10
First Publication Date 2022-06-16
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Qin, Zhiwei
  • Jiao, Yan
  • Tang, Xiaocheng
  • Zhu, Hongtu
  • Ye, Jieping

Abstract

Deep reinforcement learning may be used for vehicle repositioning on mobility-on-demand platforms. Information may be obtained. The information may include a current location of a vehicle on a ride-sharing platform. A set of paths originated from the current location of the vehicle 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.

IPC Classes  ?

76.

Dynamic display of driver content

      
Application Number 17124343
Grant Number 11507978
Status In Force
Filing Date 2020-12-16
First Publication Date 2022-06-16
Grant Date 2022-11-22
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Farmer, Kenneth
  • Piacentini Baruffaldi, Paola Giovanna

Abstract

Systems and methods are disclosed configured to identify a location where current or predicted ride requests exceed a threshold within a time period. Driver location information for one or more drivers is used to identify a driver to satisfy the identified current or predicted ride requests at the location that exceed the threshold within the time period. In response to determining that a driver has at least a first likelihood of accepting a ride request at the location within the time period, item content is selected using a history of establishments frequented by the driver. The selected item of content, associated with a token, is provided for presentation on a display to the driver. In response to determining that the identified driver accepted the ride request at the location within the time period, the token is enabled to be utilized by the identified driver at an entity.

IPC Classes  ?

  • G06Q 30/00 - Commerce
  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06Q 50/30 - Transportation; Communications
  • G06Q 10/02 - Reservations, e.g. for tickets, services or events

77.

SYSTEMS AND METHODS FOR IMPROVING SECURITY

      
Application Number CN2020135924
Publication Number 2022/120840
Status In Force
Filing Date 2020-12-11
Publication Date 2022-06-16
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Ni, Zetian
  • Yi, Zihan
  • Yang, Kaidan
  • Chen, Xin

Abstract

The present disclosure provides a system for improving security. The system may identify a query associated with a user account, and access an ID graph database to obtain an ID graph relating to the user account by a database driver. The system may also determine whether the user account is a target account type based at least on the ID graph. The ID graph may include a plurality of nodes and a plurality of edges. Each of the plurality of edges may connect two nodes. Each of the plurality of nodes may include at least one of a register ID, a login ID, a payment ID, a background check ID, or a face ID. Each edge that connects two nodes may include at least one of a user type associated with the two nodes, a timestamp when the edge is connected, or source information of the edge.

IPC Classes  ?

78.

SYSTEM AND METHOD FOR TASK CONTROL BASED ON BAYESIAN META-REINFORCEMENT LEARNING

      
Application Number 17116062
Status Pending
Filing Date 2020-12-09
First Publication Date 2022-06-09
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Zou, Yayi
  • Qin, Zhiwei

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for task control based on Bayesian Meta-Reinforcement learning. An exemplary method includes obtaining a base machine learning (ML) model trained based on historical data collected from historical tasks. The base ML model represents a prior distribution of model parameters in a neural network representing control policies. The exemplary method further includes receiving observed data from a new control task; training a task-level ML model based on the base ML model and the observed data, wherein the task-level ML model represents a posterior distribution of the model parameters; sampling, based on the posterior distribution of the model parameters, a set of the model parameters that represent a control policy; and applying the control policy in performing the new control task.

IPC Classes  ?

  • G08G 1/081 - Plural intersections under common control
  • G08G 1/01 - Detecting movement of traffic to be counted or controlled
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06N 3/08 - Learning methods

79.

SYSTEMS AND METHODS FOR INSTANCE SEGMENTATION BASED ON SEMANTIC SEGMENTATION

      
Application Number 17651243
Status Pending
Filing Date 2022-02-16
First Publication Date 2022-06-02
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Tang, Jian
  • Yin, Chengxiang
  • Wu, Kun
  • Che, Zhengping

Abstract

The present disclosure relates to 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.

IPC Classes  ?

  • G06T 7/10 - Segmentation; Edge detection
  • G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
  • G06N 3/08 - Learning methods

80.

RIDE-SHARING CONNECTION SYSTEM

      
Application Number US2021072544
Publication Number 2022/115846
Status In Force
Filing Date 2021-11-22
Publication Date 2022-06-02
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Farmer, Kenneth
  • Baruffaldi, Paola, Giovanna, Piacentini

Abstract

A ride-sharing system can automatically and autonomously identify connections of a user by accessing one or more third-party networking services used by the user. Further, the system can determine which of the connections of the user spend at least a threshold amount of time in a geographic area where the user spends time, such as a residential area or workplace of the user. When a user requests a ride-share pool ride, the ride may be scheduled with a connection of the user improving the safety of the ride. Machine learning models may be used to predict the likelihood that a connection of the user will travel along the same route as the user and will improve the safety of the rider.

IPC Classes  ?

81.

SELF-PLAY TO IMPROVE TASK-ORIENTED DIALOG SYSTEMS AND METHODS

      
Application Number 17104137
Status Pending
Filing Date 2020-11-25
First Publication Date 2022-05-26
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Knight, Kevin
  • Ryskina, Mariia
  • Arkhangorodsky, Arkady
  • Nagesh, Ajay
  • Fang, Scot

Abstract

An automatic agent may be trained using reinforcement learning. A secret task may be obtained for a simulated user, and the secret task may be unknown to the automatic agent. At least one instruction to complete the secret task may be obtained from the simulated user according to at least one RL policy. At least one action may be generated by the automatic agent based on the at least one instruction and the at least one RL policy. Rewards may be determined for the simulated user and the automatic agent in response to determining that the at least one action successfully completes the secret task. The at least one RL policy may be adjusted based on the determined rewards.

IPC Classes  ?

  • G06F 9/48 - Program initiating; Program switching, e.g. by interrupt
  • G06N 20/00 - Machine learning
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog
  • G06F 9/38 - Concurrent instruction execution, e.g. pipeline, look ahead
  • G06F 9/54 - Interprogram communication

82.

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

      
Application Number 17058407
Status Pending
Filing Date 2020-05-14
First Publication Date 2022-05-05
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Shang, Wenjie
  • Li, Qingyang
  • Qin, Zhiwei
  • Ye, Jieping
  • Yu, Yang
  • Meng, Yiping

Abstract

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.

IPC Classes  ?

  • G06Q 50/30 - Transportation; Communications
  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06N 20/00 - Machine learning

83.

SYSTEMS AND METHODS FOR RECOMMENDING PICK-UP LOCATIONS

      
Application Number CN2020123554
Publication Number 2022/087767
Status In Force
Filing Date 2020-10-26
Publication Date 2022-05-05
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Yang, Jiantao
  • He, Minghui
  • Shu, Weihuan
  • Ma, Li

Abstract

A system for pick-up location recommendation is provided. The system may receive a start location of a service order from a requester terminal, and determine a plurality of candidate pick-up locations around the start location base on a location information database. Each candidate pick-up location may have a relative position to a boundary of the start location. The system may determine one or more recommended pick-up locations among the plurality of candidate pick-up locations by applying a pick-up location recommendation model to the plurality of candidate pick-up locations. An input of the pick-up location recommendation model at least may include the relative positions of the candidate pick-up locations to the boundary of the start location. The system may further transmit the one or more recommended pick-up locations to the requester terminal for recommendation.

IPC Classes  ?

  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

84.

SYSTEMS AND METHODS FOR RECOMMENDING PICK-UP LOCATION

      
Application Number CN2020124869
Publication Number 2022/087971
Status In Force
Filing Date 2020-10-29
Publication Date 2022-05-05
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Liu, Bolong

Abstract

The present disclosure relates to systems and methods for recommending pick-up locations. The method may include obtaining and storing a current location of the user, a plurality of historical locations associated with the current location of the user, and one or more potential pick-up locations corresponding to each of the plurality of historical locations of the user. The method may also include extracting feature data from the current location, the plurality of historical locations, and the one or more potential pick-up locations corresponding to each of the plurality of historical locations of the user. The method may further include inputting the extracted feature data into a pick-up location recommendation model to determine a transition probability for each potential pick-up location. The method may still include determining a recommended pick-up location for the user based on the determined transition probability for each potential pick-up location.

IPC Classes  ?

  • G06Q 30/06 - Buying, selling or leasing transactions
  • G06F 16/9537 - Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

85.

CONCURRENT MULTI-PATH PROCESSING OF AUDIO SIGNALS FOR AUTOMATIC SPEECH RECOGNITION SYSTEMS

      
Application Number 17433868
Status Pending
Filing Date 2019-02-28
First Publication Date 2022-05-05
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Yi
  • Song, Hui
  • Sha, Yongtao
  • Deng, Chengyun

Abstract

A system and method for concurrent multi-path processing of audio signals for automatic speech recognition is presented. Audio information defining a set of audio signals may be obtained (502). The audio signals may convey mixed audio content produced by multiple audio sources. A set of source-specific audio signals may be determined by demixing the mixed audio content produced by the multiple audio sources. Determining the set of source-specific audio signals may comprises providing the set of audio signals to both a first signal processing path and a second signal processing path (504). The first signal processing path may determine a value of a demixing parameter for demixing the mixed audio content (506). The second signal processing path may apply the value of the demixing parameter to the individual audio signals of the set of audio signals (508) to generate the individual source-specific audio signals (510).

IPC Classes  ?

  • G10L 15/00 - Speech recognition
  • G10L 21/18 - Transformation of speech into a non-audible representation, e.g. speech visualisation or speech processing for tactile aids - Details of the transformation process
  • G10L 19/02 - Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
  • G10L 25/18 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band

86.

Systems and methods for verifying digital payments

      
Application Number 17086448
Grant Number 11488178
Status In Force
Filing Date 2020-11-01
First Publication Date 2022-05-05
Grant Date 2022-11-01
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Zhai, Jinjian

Abstract

Embodiments of the disclosure provide systems and methods for verifying digital payments for a payment platform. The system includes a communication interface configured to receive service data associated with a transaction from a terminal device associated with a user of the payment platform. The system further includes at least one processor configured to automatically determine whether an authentication is waived for the transaction based on the received service data and a blacklist generated using a machine learning model. The blacklist includes a list of suspicious users and transaction behaviors. The at least one processor further configured to approve the transaction without requesting user authentication information from the terminal device when the authentication is waived. The at least one processor also configured to request the user authentication information from the terminal device and validate the user authentication information when the authentication is not waived.

IPC Classes  ?

  • G06Q 30/00 - Commerce
  • G06Q 10/10 - Office automation; Time management
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
  • G06Q 20/02 - Payment architectures, schemes or protocols involving a neutral third party, e.g. certification authority, notary or trusted third party [TTP]
  • G06N 20/00 - Machine learning
  • G06F 21/31 - User authentication
  • G06Q 20/32 - Payment architectures, schemes or protocols characterised by the use of specific devices using wireless devices
  • G06Q 50/26 - Government or public services
  • G06Q 40/02 - Banking, e.g. interest calculation or account maintenance

87.

SYSTEMS AND METHODS FOR RECOMMENDING POINTS OF INTEREST

      
Application Number CN2020124035
Publication Number 2022/087831
Status In Force
Filing Date 2020-10-27
Publication Date 2022-05-05
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Liu, Qian
  • Chen, Mingquan
  • Shen, Chao

Abstract

The present disclosure relates to systems and methods for displaying one or more points of interest (POIs) of a location-based service (LBS). The method may include receiving a request for an LBS sent by a user via a user terminal and obtaining a start location based on the request for the LBS. The method may also include determining one or more recommended POIs based on the start location and POI data associated with the start location. Further, the method may also include transmitting signals to the user terminal to display at least one of the one or more recommended POIs.

IPC Classes  ?

88.

ULTRA-WIDEBAND-BASED POSITIONING METHOD AND APPARATUS, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

      
Application Number CN2021122590
Publication Number 2022/083445
Status In Force
Filing Date 2021-10-08
Publication Date 2022-04-28
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Shu, Weihuan

Abstract

The embodiments of the present description provide an ultra-wideband-based positioning method and apparatus, an electronic device and a readable storage medium, relating to the technical field of computers. In the embodiments of the present description, as a short-range wireless communication connection is not easily disturbed, a first device and a second device can determine an accurate relative position on the basis of the short-range wireless communication connection, when the absolute position corresponding to the first device or the second device is not accurate (for example, when a position is determined by means of satellite positioning, a satellite positioning point may be inaccurate due to a weak satellite signal), the first device or the second device can determine the position of the other party according to the accurate relative position. In an application scenario of online ride-hailing, by means of the embodiments of the present description, an online ride-hailing driver and a passenger can find each other quickly.

IPC Classes  ?

  • H04W 4/02 - Services making use of location information
  • G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves

89.

ARTIFICIAL INTELLIGENCE SYSTEM FOR TRANSPORTATION SERVICE RELATED SAFETY ISSUES DETECTION BASED ON MACHINE LEARNING

      
Application Number CN2020122271
Publication Number 2022/082453
Status In Force
Filing Date 2020-10-20
Publication Date 2022-04-28
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Ma, Baochang
  • Zhou, Yulong
  • Han, Kun

Abstract

An artificial intelligence system for detecting a transportation service related safety issue. The system includes a storage device configured to store a first sample description of an incident and a known safety issue of the incident. The first sample description includes first set of labeled texts. The system further includes at least one processor. The at least one processor is configured to segment the first sample description into word segments, determine word vectors of the respective word segments and determine features of the first set of labeled texts in the first sample description. The at least one processor is also configured to train the learning model based on the word vectors and the features. The system also includes a communication interface configured to provide the learning model for automatically detecting the transportation service related safety issue from an incident description.

IPC Classes  ?

90.

METHOD AND SYSTEM FOR ACOUSTIC ECHO CANCELLATION

      
Application Number CN2020121024
Publication Number 2022/077305
Status In Force
Filing Date 2020-10-15
Publication Date 2022-04-21
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Zhang, Yi
  • Deng, Chengyun
  • Ma, Shiqian
  • Sha, Yongtao
  • Song, Hui

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for acoustic echo cancellation and suppression are provided. An exemplary method comprises receiving a far-end acoustic signal and a corrupted near-end acoustic signal, wherein the corrupted near-end acoustic signal is generated based on (1) an echo of the far-end acoustic signal and (2) a near-end acoustic signal; feeding the far-end acoustic signal and the corrupted near-end acoustic signal into a neural network as an input to output a time-frequency (TF) mask that suppresses the echo and retains the near-end acoustic signal, and generating an enhanced version of the corrupted near-end acoustic signal by applying the obtained TF mask to the corrupted near-end acoustic signal.

IPC Classes  ?

  • G10L 21/02 - Speech enhancement, e.g. noise reduction or echo cancellation
  • G06N 3/02 - Neural networks

91.

Systems and methods for generating, updating and enhancing large-scale high-precision 3D road maps and multi-level road graphs

      
Application Number 17423758
Grant Number 11725962
Status In Force
Filing Date 2019-01-19
First Publication Date 2022-04-14
Grant Date 2023-08-15
Owner Beijing Didi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Hou, Tingbo
  • Wang, Yanke

Abstract

Systems and methods involving obtaining point cloud data from one or more sources corresponding to one or more zones within a real-world space, the point cloud data representing surface features of structures detected within the one or more zones; defining a plurality of first-level nodes based on the point cloud data, individual first-level nodes corresponding to obtained point cloud data corresponding to individual zones of the one or more zones; identifying connections between two or more first-level nodes, the connections between the two or more first-level nodes based on connections between the point cloud data for the zones corresponding to the two or more first-level nodes; and defining a plurality of second-level nodes, individual second-level nodes corresponding to aggregated subsets of first-level nodes for which connections are identified.

IPC Classes  ?

  • G01C 21/00 - Navigation; Navigational instruments not provided for in groups
  • G01C 21/34 - Route searching; Route guidance

92.

SYSTEMS AND METHODS FOR DISPATCHING SHARED RIDES THROUGH RIDE-HAILING PLATFORM

      
Application Number CN2021121259
Publication Number 2022/073444
Status In Force
Filing Date 2021-09-28
Publication Date 2022-04-14
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Li, Shuaiji
  • Tang, Xiaocheng
  • Qin, Zhiwei

Abstract

A method includes: obtaining a plurality of first signals corresponding to a vehicle and a plurality of second signals corresponding to a plurality of candidate carpool combinations each comprising one or more unassigned transportation orders, wherein: the plurality of first signals comprise a current time, a location of the vehicle at the current time, and one or more static features corresponding to the vehicle, the plurality of second signals comprise timestamps, origins, and destinations of the unassigned transportation orders, and the vehicle has an on-going transportation order at the current time; inputting the plurality of first and second signals to a trained machine learning model; and obtaining, from an output of the trained machine learning model, a utility score of each of the plurality of candidate carpool combinations.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

93.

Systems and methods for dispatching shared rides through ride-hailing platform

      
Application Number 17064902
Grant Number 11626021
Status In Force
Filing Date 2020-10-07
First Publication Date 2022-04-07
Grant Date 2023-04-11
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Li, Shuaiji
  • Tang, Xiaocheng
  • Qin, Zhiwei

Abstract

A method includes: obtaining a plurality of first signals corresponding to a vehicle and a plurality of second signals corresponding to a plurality of candidate carpool combinations each comprising one or more unassigned transportation orders, wherein: the plurality of first signals comprise a current time, a location of the vehicle at the current time, and one or more static features corresponding to the vehicle, the plurality of second signals comprise timestamps, origins, and destinations of the unassigned transportation orders, and the vehicle has an on-going transportation order at the current time; inputting the plurality of first and second signals to a trained machine learning model; and obtaining, from an output of the trained machine learning model, a utility score of each of the plurality of candidate carpool combinations.

IPC Classes  ?

  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G08G 1/00 - Traffic control systems for road vehicles
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/049 - Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
  • G06Q 50/30 - Transportation; Communications

94.

Method and system for spatial-temporal carpool dual-pricing in ridesharing

      
Application Number 17061330
Grant Number 11507896
Status In Force
Filing Date 2020-10-01
First Publication Date 2022-04-07
Grant Date 2022-11-22
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Tan, Bo
  • He, Yanyi

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: obtaining a machine-learning model trained to generate a probability for a carpool request from a rider to convert to a trip based at least on a pair of price adjustment multipliers applied to the carpool request; determining one or more Key Performance Indicator (KPI) models based on the machine-learning model; constructing an optimization model based on the KPI models, the optimization model comprising a plurality of pairs of price adjustment multipliers as decision variables; and determining optimal values of the plurality of pairs of price adjustment multipliers for the plurality of pricing units by solving the optimization model based on a plurality of historical carpool requests.

IPC Classes  ?

  • G06Q 10/02 - Reservations, e.g. for tickets, services or events
  • G06N 7/00 - Computing arrangements based on specific mathematical models
  • G06Q 30/02 - Marketing; Price estimation or determination; Fundraising
  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 50/30 - Transportation; Communications
  • G06N 20/00 - Machine learning
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06Q 30/08 - Auctions

95.

Method and system for predicting carpool matching probability in ridesharing

      
Application Number 17061482
Grant Number 11694127
Status In Force
Filing Date 2020-10-01
First Publication Date 2022-04-07
Grant Date 2023-07-04
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor
  • Tan, Bo
  • He, Yanyi

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for carpool dual-pricing in ridesharing are provided. An exemplary method comprises: determining an expected trip count based on a plurality of carpool requests in a pricing unit and a pair of price adjustment multipliers applied to the pricing unit; for each of the plurality of carpool requests, generating a carpool matching probability of the carpool request by a second machine learning model based on the first expected trip count; constructing one or more Key Performance Indicator (KPI) models based on the plurality of carpool matching probabilities and the pair of price adjustment multipliers; and determining optimal values of the pair of price adjustment multipliers based on an optimization model maximizing an aggregated value of the one or more KPI models.

IPC Classes  ?

  • G06Q 30/0283 - Price estimation or determination
  • G06Q 30/0201 - Market modelling; Market analysis; Collecting market data
  • G06Q 10/02 - Reservations, e.g. for tickets, services or events
  • G06Q 10/0639 - Performance analysis of employees; Performance analysis of enterprise or organisation operations
  • G06Q 50/30 - Transportation; Communications
  • G06N 20/00 - Machine learning
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06Q 30/08 - Auctions
  • G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks

96.

REMOTELY SUPERVISED PASSENGER INTERVENTION OF AN AUTONOMOUS VEHICLE

      
Application Number 17552308
Status Pending
Filing Date 2021-12-15
First Publication Date 2022-04-07
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor Zhang, Jiang

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing user intervention for a vehicle are provided. One of the methods includes: receiving an instruction to initiate an intervention session from a server, and providing, in response to receiving the instruction, a user interface associated with the intervention session for display on a terminal associated with the vehicle. The method further includes detecting, at the terminal, a user interaction corresponding to a command associated with operation of the vehicle, and generating a decision associated with the operation of the vehicle based at least in part on the command.

IPC Classes  ?

  • B60W 50/10 - Interpretation of driver requests or demands
  • B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
  • B60W 50/00 - CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - Details of control systems for road vehicle drive control not related to the control of a particular sub-unit
  • G05D 1/00 - Control of position, course, altitude, or attitude of land, water, air, or space vehicles, e.g. automatic pilot
  • G05D 1/02 - Control of position or course in two dimensions

97.

FLOATING WINDOW CONTROL METHOD AND SYSTEM

      
Application Number CN2021112898
Publication Number 2022/057547
Status In Force
Filing Date 2021-08-17
Publication Date 2022-03-24
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Han, Shaoying

Abstract

A floating window control method and system. The method comprises: obtaining a first operation of a user on a terminal device, the first operation being used for instructing the terminal device to execute a first application program in the background; when the first application program is executed in the background, automatically adding a first floating window on a display interface of the terminal device, the first floating window comprising a first state and a second state, when the first floating window is in the first state, the first floating window being hidden in the display interface, and when the first floating window is in the second state, the first floating window being displayed on the display interface; and after the first floating window is added, adding a second floating window associated with the first application program, the second floating window covering a local area of the display interface, and when the relative position relationship between the second floating window and the first floating window meeting a first preset condition, the first floating window being switched from the first state to the second state, wherein the first floating window is used for closing the second floating window.

IPC Classes  ?

  • G06F 3/0481 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance

98.

Systems and methods for displaying vehicle information for on-demand services

      
Application Number 17456879
Grant Number 11636631
Status In Force
Filing Date 2021-11-29
First Publication Date 2022-03-17
Grant Date 2023-04-25
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor Nie, Fenglong

Abstract

The present disclosure relates to systems and methods for displaying vehicle information for an on-demand service. The method may include sending a request for on-demand service to a server. The method may further include obtaining information of a vehicle related to the request for on-demand service. The information of the vehicle may include color information of the vehicle. The method may further include generating, by a processor, a user interface based on the information of the vehicle. The user interface may include at least one user interface element corresponding to the color information of the vehicle.

IPC Classes  ?

  • G06T 11/00 - 2D [Two Dimensional] image generation
  • H04L 67/63 - Routing a service request depending on the request content or context
  • G06T 7/90 - Determination of colour characteristics
  • H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
  • G01C 21/34 - Route searching; Route guidance
  • G06T 11/60 - Editing figures and text; Combining figures or text
  • H04L 67/51 - Discovery or management thereof, e.g. service location protocol [SLP] or web services
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 40/221 - Parsing markup language streams
  • G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons

99.

AN INFORMATION EXCHANGE AND SYNCHRONIZATION METHOD AND APPARATUS

      
Application Number 17423563
Status Pending
Filing Date 2019-03-12
First Publication Date 2022-03-10
Owner Beijing DiDi Infinity Technology and Development Co., Ltd. (China)
Inventor Leng, Tianyi

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for exchange and synchronization of status information of a vehicle. One of the methods includes obtaining, by a terminal, status information of the vehicle from equipment on the vehicle and connected to the terminal, sending, by the terminal, the status information to a server, and receiving, by the terminal and from the server, an updated status identifier associated with the terminal, wherein the updated status identifier is determined based on the status information.

IPC Classes  ?

  • G06Q 10/06 - Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
  • G06Q 10/02 - Reservations, e.g. for tickets, services or events
  • G06Q 50/30 - Transportation; Communications

100.

METHOD AND SYSTEM FOR RECOGNIZING CERTIFICATE ON BASIS OF GRAPH NEURAL NETWORK

      
Application Number CN2021112926
Publication Number 2022/042365
Status In Force
Filing Date 2021-08-17
Publication Date 2022-03-03
Owner BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD. (China)
Inventor
  • Wang, Hao
  • Zhang, Tianming
  • Wang, Zhiheng
  • Wang, Shudong
  • Xue, Taolue
  • Zhou, Shiqi
  • Cheng, Bo
  • Bi, Xiao

Abstract

A method and system for recognizing a certificate on the basis of a graph neural network. The method comprises: obtaining an image to be recognized (310); detecting content text comprised in the image to be recognized, and determining multiple bounding boxes (320); constructing a layout on the basis of the multiple bounding boxes (330), wherein the layout comprises a plurality of nodes and a plurality of edges, each node corresponds to a bounding box, and each edge correspond to the spatial position relationship between a bounding box and another bounding box; and processing the layout using a trained graph neural network model to determine field categories in the bounding boxes in the layout (340), and performing text recognition on key fields, so as to extract key information in the certificate.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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