Abstract: The application discloses a method and an apparatus for reporting a traffic event, an electronic device and a storage medium. The detailed implementation scheme is: obtaining a surveillance video and an object in a surveillance video; obtaining location information and/or speed information of the object; determining whether the object occurs a traffic event based on the location information and/or the speed information of the object; in response to determining that the traffic event is occurred, reporting starting information of the traffic event and generating state information of the traffic event, in which the state information of the traffic event is updated with the location information and/or the speed information of the object; supervising the state information of the traffic event; reporting ending information of the traffic event in response to determining that the traffic event ends based on the state information of the traffic event.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for evaluating a vehicle, a device and a computer readable storage medium. The method includes: determining driving information of the vehicle in an automatic driving mode, the driving information including at least one of trip information, power consumption information and driver state of the vehicle in the automatic driving mode; determining usage situation of the vehicle in the automatic driving mode based on the driving information; and providing the usage situation of the vehicle.

Abstract: A method of controlling traffic, an electronic device, a roadside device, a cloud control platform, and a storage medium, relate to a field of intelligent transportation. The method includes: acquiring a pre-estimated driving duration for a target vehicle from a current position to a stop line of an intersection; determining a first change information for traffic lights at the intersection, based on the pre-estimated driving duration; acquiring a traffic status information for an intersecting lane that intersects a lane at which the target vehicle is located; and adjusting the first change information based at least on the traffic status information for the intersecting lane, to obtain a second change information, in response to the traffic status information meeting a preset status condition, so as to control the traffic lights based on the second change information.

Abstract: A method and an apparatus of processing traffic data, a device, a medium and a product are provided. The method of processing traffic data includes: acquiring initial traffic data for a vehicle, wherein the initial traffic data includes current position information of the vehicle, position information of a plurality of traffic objects and feature information; determining a relative positional relationship between the current position information of the vehicle and the position information of the plurality of traffic objects; and processing the initial traffic data based on at least one of the feature information and the relative positional relationship to acquire at least one traffic data set, so as to navigate the vehicle based on the at least one traffic data set.

Abstract: A method and apparatus of assisting vehicle driving, an electronic device and a storage medium. The method relates to a field of smart transportation, and in particular to vehicle networking, vehicle-road cooperation and assisting driving technologies. The method includes: transmitting driving information for a vehicle; receiving traffic light information associated with the location of the vehicle, wherein the traffic light information includes: a location of a traffic light and a status of the traffic light determined in response to a distance between the vehicle and the traffic light meeting a first condition; calculating scenario data for the traffic light at a current time instant according to the traffic light information received; and presenting the scenario data calculated in response to the distance between the vehicle and the traffic light meeting a second condition.

Abstract: A method, apparatus, a roadside device and a cloud control platform are provided. The method includes: acquiring a plurality of images for a target lane captured at a plurality of time instants; for each image, determining at least one vehicle located on the target lane and a travelling speed of each of the at least one vehicle at the time instant at which each such image is captured and determining a status information of each of the at least one vehicle at the time instant according to the travelling speed of the at least one vehicle; determining a queuing vehicle, which is located on the target lane at a first time instant of the plurality of time instants, according to all of the status information determined for the plurality of images; and determining vehicle queuing information for the target lane at the first time instant according to the queuing vehicle.

Abstract: A target tracking method and device, as well as an electronic apparatus and a storage medium are provided. The method includes: acquiring feature information of a detection box in a current video frame and feature information of a detection box in a previous video frame, the feature information comprising position information of the detection box and an appearance feature of an obstacle target within the detection box, wherein the appearance feature comprises a texture feature and a semantics feature; matching the feature information of the detection box in the current video frame with the feature information of the detection box in the previous video frame; and determining a tracking trajectory of the detection box in the current video frame according to a matching result. In the embodiment of the application, an accuracy for tracking an object can be improved.

Abstract: The present disclosure provides a method of presenting information for vehicle, an electronic device, and a storage medium, which are applied to a field of automatic driving, intelligent transportation, and navigation technology. The specific implementation scheme is: acquiring a target navigation path, wherein the target navigation path includes a plurality of road segments; acquiring operation information of an automatic driving system of a vehicle, in response to determining that the plurality of road segments include a target road segment that allows automatic driving; and controlling the vehicle to present the target navigation path and a touch object used to switch an operation state of the automatic driving system, in response to the operation information indicating that the automatic driving system is in a normal state, wherein the target road segment in the presented target navigation path is highlighted.

Abstract: A method and an apparatus for identifying an image and an electronic device are provided in the present application, which relates to the field of image recognition technology. The method for identifying the image is specifically implemented as follows: acquiring a first face image, where the first face image is one face image; acquiring face depth information about the first face image; and identifying whether a face in the first face image is masked in accordance with the face depth information. In this way, whether the face in the first face image is masked is identified in accordance with face depth information about the one face image, so as to improve the accuracy of identification.

Abstract: The present disclosure provides a vehicle control method, a computer device and a storage medium. The method includes: when a moving direction of a pedestrian is detected to be toward an intersection in front of a vehicle during driving of the vehicle, determining a first time required for the pedestrian to move from a current position of the pedestrian and a second time required for the vehicle to move from a current position of the vehicle to the front intersection according to a current motion state of the pedestrian and a current driving state of the vehicle, respectively, determining a control strategy of the vehicle according to a distance range to which a first distance between the vehicle and the intersection belongs, the first time and the second time, and when the vehicle drives toward the intersection, controlling the vehicle to make, according to the distance between the vehicle and the intersection, a prompt corresponding to the distance to the pedestrian.

Abstract: The disclosure provides a method and an apparatus for checking an automatic driving algorithm, a related device and a storage medium. The travelling data during a travelling process of the vehicle is obtained. The travelling data includes the environmental parameter and/or the state parameter of the vehicle. The travelling data is processed using an automatic driving algorithm to be checked to generate the prediction result. The reference result corresponding to the travelling data is obtained. The reliability of the automatic driving algorithm to be checked is determined based on the difference between the prediction result and the reference result.

Abstract: The embodiments of the present disclosure provide a method and an apparatus for providing vehicle information, a device and a storage medium for implementing the method. The method includes: acquiring a first time period expected for a first vehicle to wait before supplement of energy for the first vehicle is to be commenced; determining a second time period expected to be required during the supplement of the energy for the first vehicle based on an amount of the energy to be supplemented for the first vehicle; determining a third time period expected to require for completing the supplement of the energy for the first vehicle based on the first time period and the second time period; and providing the third time period.

Abstract: Provided are a vehicle association method and a device, a roadside equipment and a cloud control platform. The vehicle association method is described below. An image of a current vehicle running on a road is collected according to a preset period by each observation point; an original observation sequence of the each observation point relative to the current vehicle is determined according to the image collected by the each observation point within a preset time period; a target observation sequence of the each observation point relative to the current vehicle is determined according to the original observation sequence of the each observation point relative to the current vehicle; and whether current vehicles observed by every two observation points are the same vehicle are detected.

Abstract: The present application provides a method and apparatus for testing response speed of an on-board device, a device and a storage medium, relating to the field of autonomous driving in the field of artificial intelligence and the field of Internet of Vehicles. The method for testing response speed of an on-board device includes: obtaining multimedia information which includes a preset voice command and response information of the on-board device to the preset voice command; analyzing the multimedia information and determining an end time of the preset voice command and a time corresponding to the response information; determining response speed of the on-board device according to the end time of the preset voice command and the time corresponding to the response information. This method improves the accuracy of the response speed test result.

Abstract: The present disclosure discloses a road test method and apparatus for an autonomous driving vehicle, a device and a storage medium, relating to the field of artificial intelligence and, in particular, to autonomous driving and intelligent transportation technologies. The specific implementation is: analyzing, based on evaluation baselines corresponding to autonomous driving scenarios in a process during which a vehicle is travelling along a test route, information of test parameters corresponding to the autonomous driving scenarios to determine a first test result of the vehicle; generating a second test result of the vehicle according to experience evaluation data; determining a road test result of the vehicle according to the first test result and the second test result of the vehicle.

Abstract: A lane marking detecting method, an apparatus, an electronic device, a storage medium, a program product, and a vehicle, where a specific implementation includes: obtaining a video stream including a lane marking; extracting a key image frame from the video stream at a predetermined interval of frames, with an image frame between adjacent key image frames being a non-key image frame; detecting, for the key image frame, a lane marking according to a feature map of the key image frame; detecting, for the non-key image frame, a lane marking according to the non-key image frame and a feature map of a previous key image frame of the non-key image frame. In this embodiment, the feature map of the non-key image frame is determined and the lane marking is detected by combining the feature map of the previous key image frame, thus enabling flexibility and diversity in lane marking detection.