Abstract

Embodiments of the disclosure provide methods and systems for positioning a vehicle. The system may include a communication interface configured to receive a set of point cloud data with respect to a scene captured under a first lighting condition by at least one sensor. The system may further include a storage configured to store the set of point cloud data, and a processor. The processor may be configured to identify at least one local light source based on the set of point cloud data, modify the set of point cloud data based on a simulated light from the at least one local light source corresponding to a second lighting condition, and position the vehicle under the second lighting condition based on the modified set of point cloud data.

IPC Classes  ?

• G01C 21/00 - Navigation; Navigational instruments not provided for in groups
• G08G 1/00 - Traffic control systems for road vehicles

Abstract

Embodiments of the disclosure provide methods and systems for generating a color point cloud. The method may include receiving a point cloud and a plurality of images with respect to a scene captured by a plurality of sensors associated with a vehicle as the vehicle moves along a trajectory. The method may include segmenting the point cloud into a plurality of segments each associated with a start point and an end point on the trajectory of the vehicle. The method may also include associating each segment of the point cloud with one or more of the images based on the start point and the end point. The method may further include generating color point cloud by aggregating each segment of the point cloud and the one or more of the images based on calibration parameter in different distances between the segment of the point cloud and the vehicle.

IPC Classes  ?

• 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

Abstract

Embodiments of the disclosure provide a system for detecting a conflict in a vehicle. The system includes at least one camera, which is configured to capture a plurality of images in the vehicle. The system further includes a controller in communication with the at least one camera. The controller is configured to detect human objects from the plurality of images, estimate depth information of the respective human objects, and detect the conflict based on the depth information.

IPC Classes  ?

• G08B 21/22 - Status alarms responsive to presence or absence of persons
• B60R 25/30 - Detection related to theft or to other events relevant to anti-theft systems
• G06T 7/10 - Segmentation; Edge detection
• G06T 7/50 - Depth or shape recovery
• G06T 7/70 - Determining position or orientation of objects or cameras
• H04N 13/128 - Adjusting depth or disparity
• G06N 20/00 - Machine learning

Abstract

Systems and methods for predicting traffic accident location. A method includes: obtaining a plurality of accident records, each accident record is associated with a target user terminal and includes a plurality of locations; determining a plurality of refined accident locations by, for each of the plurality of accident records, operating a first clustering procedure with the corresponding plurality of locations of the target user terminal as inputs of the first clustering procedure and assigning a first result of the first clustering procedure as a refined accident location of the plurality of locations of the target user terminal; and determining at least one accident- prone road section by operating a second clustering procedure with the plurality of refined accident locations corresponding to the plurality of accident records as the inputs of the second clustering procedure.

IPC Classes  ?

• G08G 1/16 - Anti-collision systems
• G06Q 50/30 - Transportation; Communications
• G06F 16/906 - Clustering; Classification

Abstract

The present disclosure relates to a system and method for determining a traffic condition. The systems may perform the methods to: obtain a length of a road segment, where an upstream intersection and a downstream intersection is linked by the road segment; determine a first queue length of a queue on the road segment at a first time point and a second queue length of the queue at a second time point; determine a duration of the second queue length, based on a cycle length of the first traffic light corresponding to the downstream intersection, a cycle length of the second traffic light corresponding to the upstream intersection, a free-flow speed corresponding to the road segment, a back-propagation wave speed corresponding to the road segment, and the first queue length; and determine whether the second queue length exceeds the length of the road segment.

IPC Classes  ?

• G08G 1/065 - Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
• G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
• G08G 1/08 - Controlling traffic signals according to detected number or speed of vehicles

Abstract

Embodiments of the disclosure provide methods and systems for calibrating a plurality of sensors. The method may include capturing, by a plurality of sensors associated with a vehicle, a set of point cloud data indicative of at least one surrounding object as the vehicle travels along a trajectory. The method may also include filtering, by a processor, the set of point cloud data based on coplanarity associated with the set of point cloud data. The method may further include adjusting, by the processor, at least one calibration parameter of the plurality of sensors based on a model using the filtered set of point cloud data. The model may include a weight corresponding to the coplanarity associated with the set of point cloud data.

IPC Classes  ?

• G01S 7/40 - Means for monitoring or calibrating

Abstract

Embodiments of the disclosure provide methods and systems for acquiring map data. The system may include a mounting structure configured to adjustably mount a sensor to a vehicle. The sensor may be configured to capture data indicative of at least one surrounding object as the vehicle travels along a path. The system may further include a controller configured to dynamically determine a mounting angle based on the captured data, and cause the mounting structure to adjust the sensor according to the dynamically determined mounting angle.

IPC Classes  ?

• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
• G01S 17/931 - Lidar systems, specially adapted for specific applications for anti-collision purposes of land vehicles
• B60R 11/04 - Mounting of cameras operative during drive; Arrangement of controls thereof relative to the vehicle
• G01C 21/00 - Navigation; Navigational instruments not provided for in groups

Abstract

Embodiments of the disclosure provide systems and methods for updating a high- resolution map. The system may include a communication interface configured to receive a plurality of image frames captured by a binocular camera equipped on a vehicle, as the vehicle travels along a trajectory. The system may further include a storage configured to store the high-resolution map and the plurality of image frames. The system may also include at least one processor. The at least one processor may be configured to generate point cloud frames based on the respective image frames. The at least one processor may be further configured to position the vehicle using the point cloud frames. The at least one processor may be further configured to merge the point cloud frames based on the vehicle positions. The at least one processor may also be configured to update a portion of the high-resolution map based on the merged point cloud.

IPC Classes  ?

• G09B 29/00 - Maps; Plans; Charts; Diagrams, e.g. route diagrams
• G01C 21/32 - Structuring or formatting of map data
• G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging

Abstract

The present disclosure relates to systems and methods for identifying a risky driving behavior of a driver. The systems may obtain driving data from sensors associated with a vehicle driven by a driver; determine, based on the driving data, a target time period; obtain, based on the driving data, target data within the target time period; and identify, based on the target data, a presence of a risky driving behavior of the driver.

IPC Classes  ?

• G07C 5/00 - Registering or indicating the working of vehicles
• H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
• G06N 20/00 - Machine learning
• G08G 1/01 - Detecting movement of traffic to be counted or controlled

Abstract

A computer-implemented method for providing transportation service is described. The method can include receiving a first transportation service request from a user terminal device. The method can further include determining, by a processor, an estimated time for the first transportation service request to be fulfilled. The method can also include determining, by the processor, a hypothetical time for the first transportation service request to be fulfilled if switching to a carpool request. The method can also include providing, to the user terminal device, a recommendation to switch to the carpool request when the hypothetical time is less than the estimated time. The method can also include providing a carpool service to fulfill the first transportation service request when an acceptance of the recommendation is received from the user terminal device.

Abstract

Methods and systems for providing transportation service are provided. The method can include detecting, by at least one processor, a request queue associated with an area. The method can further include receiving transportation service requests, from remote terminal devices, to be placed in the request queue. The method can also include determining, by the at least one processor, a number of the transportation service requests for the request queue. The method can further include activating, by the at least one processor, the request queue in response to the determined number being greater than an activation threshold; and providing transportation service according to respective positions of the transportation service requests in the activated request queue.

Abstract

A system and method for verifying authenticity of a target ID photo are provided. The method may include: receiving, by at least one computer, a target identification (ID) photo; accessing, by the at least one computer, a database of one or more reference ID photos; determining, by the at least one computer, a difference value between a predetermined area on the target ID photo and a predetermined area of one or more target reference ID photos in the database; upon determining that the difference value is less than a threshold value, generating, by the at least one computer, a warning code to indicate that the target ID photo is a fake ID photo.

IPC Classes  ?

• G06V 10/74 - Image or video pattern matching; Proximity measures in feature spaces
• G06V 10/40 - Extraction of image or video features
• G06V 10/54 - Extraction of image or video features relating to texture
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

A method for displaying a smooth movement of a vehicle on a map may include obtaining a route, a last real-time location of the vehicle, and a last uploading time point. The method may also include obtaining driving data of one or more neighboring vehicles and determining a predicted location of the vehicle at a prediction generating time point. The method may further include displaying a smooth movement of the vehicle from the last real-time location to the predicted location on a map. A method for displaying a driving path of a vehicle on a map may include obtaining a request for displaying a driving path of a vehicle, location information of the vehicle, and scene related information associated with the driving path. The method may further include verifying the location information based on the scene related information and displaying the driving path of the vehicle on a map.

IPC Classes  ?

• G08G 1/13 - Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles to a central station the indicator being in the form of a map
• G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
• 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

Abstract

The present disclosure relates to systems and methods for providing Onlin-to-Offline services. The method may include obtain first information associated with a first service request having been allocated to a service provider and having been accepted by the service provider. The method may also include obtaining second information associated with a second service request initiated via an application executed by a second requester terminal. The method may also include determining a matching parameter based on the first information and the second information by using at least one trained matching model and determining whether the matching parameter is larger than a threshold. The method may also include transmitting data associated with the second service request based on a result of the determination that the matching parameter is larger than the threshold.

IPC Classes  ?

• G06N 20/00 - Machine learning

Abstract

The present disclosure relates to systems and methods for providing Onlin-to-Offline services. The method may include obtain first information associated with a first service request having been allocated to a service provider and having been accepted by the service provider. The method may also include obtaining second information associated with a second service request initiated via an application executed by a second requester terminal. The method may also include determining a matching parameter based on the first information and the second information by using at least one trained matching model and determining whether the matching parameter is larger than a threshold. The method may also include transmitting data associated with the second service request based on a result of the determination that the matching parameter is larger than the threshold.

IPC Classes  ?

• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06N 20/00 - Machine learning
• G06Q 10/083 - Shipping

Abstract

The present disclosure relates to a method and system for determining estimated time of arrival. The method includes receiving a service request including a departure location and a destination from a terminal device; determining a route based on the departure location and the destination; determining a first feature associated with the route; determining a transfer learning model; determining a second feature based on the first feature and the transfer learning model; and determining an estimated time of arrival based on the second feature.

IPC Classes  ?

• G06Q 50/43 - Business processes related to the sharing of vehicles, e.g. car sharing
• G06N 20/00 - Machine learning
• G06Q 30/0283 - Price estimation or determination

Abstract

The present disclosure relates to a method and system for determining estimated time of arrival. The method includes receiving a service request including a departure location and a destination from a terminal device; determining a route based on the departure location and the destination; determining a first feature associated with the route; determining a transfer learning model; determining a second feature based on the first feature and the transfer learning model; and determining an estimated time of arrival based on the second feature.

IPC Classes  ?

• G06N 20/00 - Machine learning

Abstract

A method for determining an estimated time of arrival (ETA) may include obtaining a service request from a terminal and determining a reference image relating to the service request. The method may also include obtaining a trained neural network model. The method may further include determining an ETA relating to the service request based on the reference image and the trained neural network model, and transmitting the ETA to the terminal.

IPC Classes  ?

• H04W 64/00 - Locating users or terminals for network management purposes, e.g. mobility management

Abstract

Systems and methods for real-time transcription of an audio signal into texts are disclosed, wherein the audio signal contains a first speech signal and a second speech signal. The method may include establishing a session for receiving the audio signal, receiving the first speech signal through the established session, segmenting the first speech signal into a first set of speech segments, transcribing the first set of speech segments into a first set of texts, and receiving the second speech signal while the first set of speech segments are being transcribed.

IPC Classes  ?

• H04M 3/493 - Interactive information services, e.g. directory enquiries
• H04W 4/18 - Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals

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  ?

• H04W 4/02 - Services making use of location information
• H04L 67/52 - Network services specially adapted for the location of the user terminal
• G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle

Abstract

An information providing method for an on-demand service comprises: receiving service request information from a passenger of a passenger end device (120), the service request information comprising a start location of the passenger; acquiring history service request information related to the passenger; and determining travel path related information at least partially based on the start location of the passenger and the history service request information. Also disclosed is a system (105) for implementing the method.

Abstract

Disclosed is an information providing method for an on-demand service, comprising: receiving service request information from a service requester, the service request information comprising information related to a location of the service requester; determining a candidate gather location set at least partially based on the service request information, the candidate gather location set comprising at least one candidate gather location; sending the candidate gather location set to the service requester; receiving processing of the service requester on the candidate gather location set; and generating a processing result at least partially based on the processing of the service requester on the candidate gather location set. Also disclosed is a system for implementing the method.

IPC Classes  ?

• G08G 1/00 - Traffic control systems for road vehicles