Abstract: Embodiments of the present disclosure provide a method for processing vehicle driving mode switching, a vehicle and a server. The method includes: determining (S103) a target switching reason upon detecting that a driving mode of a vehicle is switched from unmanned driving to manned driving; acquiring (S104) status information and/or traveling environment information of the vehicle corresponding to the target switching reason; and sending the status information and/or the traveling environment information, and the target switching reason to a server, to enable the server to analyze the target switching reason, and improve the automatic driving system continuously according to the analysis result.

Abstract: The present disclosure discloses a remote login processing method, apparatus, device and storage medium for an unmanned vehicle, and relates to the technical field of remote control. The implementation method of the specific method includes: sending a login request to an unmanned vehicle terminal through a first communication channel in response to a the login request received from an operator, and waiting to receive a reply instruction returned by the unmanned vehicle terminal; returning the reply instruction to the operator through the second communication channel in response to the reply instruction received from the unmanned vehicle terminal, so that the operator logs in the unmanned vehicle terminal according to the reply instruction, where there is a persistent connection state that unidirectionally authenticated between the second communication channel and the unmanned vehicle terminal.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing positioning data, a device, a storage medium and a vehicle. In the method according to the embodiments of the present disclosure, the vehicle is controlled to collect positioning data continuously in the five stages including a first stage for performing dynamic alignment, a second stage for traveling along a path of a character “8”, a third stage for collecting map data, a fourth stage for traveling along a path of the character “8”, and a fifth stage for performing the dynamic alignment, and processing of error convergence is performed on the positioning data collected in the third stage, according to the positioning data collected in the first stage, the second stage, the fourth stage and the fifth stage, to obtain the final positioning data after the error convergence.

Abstract: The present disclosure provides a method, an apparatus and a system for processing unmanned vehicle data, and a storage medium, where the method includes: receiving data acquisition indication information sent by a cloud server; obtaining, according to the data acquisition indication information, target data from a data set; and storing the target data, and/or sending the target data to the cloud server, which can thereby achieve acquisition and storage of data meets a preset condition, reduce amount of data storage of the unmanned vehicle and amount of data sent to the cloud server, save network resources, and improve data transmission efficiency.

Abstract: The present disclosure provides a data acquisition method, apparatus, device and computer readable storage medium. According to the embodiments of the present disclosure, determination is made as to whether a preset stable driving condition is met based on acquired driving scene data of the driving scene where the vehicle is currently located, and acquired driving behavior data; if the preset stable driving condition is met, the driving scene data and the driving behavior data are acquired at a frequency lower than a preset sampling frequency. As a result, it is possible to reduce data redundancy in similar scenes and similar diving modes, reduce the amount of data, reduce occupation of the storage resources and transmission resources and facilitate subsequent analysis, and it is possible to implement the dynamic acquisition of driving scene data and driving behavior data by scenes and modes.

Abstract: The present disclosure discloses a method, an apparatus, an electronic device and a medium for acquiring map data, and relates to the field of intelligent transportation. A specific implementation solution is: determining a target areas of interest in a map, wherein the map is divided into at least two areas of interest; sending a data acquisition instruction to data acquisition terminals to acquire the map data in the target areas of interest; and receiving the map data fed back from the data acquisition terminal and updating the target areas of interest in the map according to the map data.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for camera calibration processing, a device for vehicle control and a storage medium. In the method according to the embodiments of the present disclosure, at least one pair of images collected by a camera and a vehicle position at a collection time of each of the images are acquired during a process of a vehicle travelling along a straight line, where each pair of images includes images taken by the camera at two different positions, and two images in each pair of images include a common static feature point. A current installation angle of the camera is calculated according to the at least one pair of images and the vehicle position at the collection time of each of the images.

Abstract: The present disclosure provides a data acquisition method, apparatus, device and computer readable storage medium. According to the embodiments of the present disclosure, determination is made as to whether a preset stable driving condition is met based on acquired driving scene data of the driving scene where the vehicle is currently located, and acquired driving behavior data; if the preset stable driving condition is met, the driving scene data and the driving behavior data are acquired at a frequency lower than a preset sampling frequency. As a result, it is possible to reduce data redundancy in similar scenes and similar diving modes, reduce the amount of data, reduce occupation of the storage resources and transmission resources and facilitate subsequent analysis, and it is possible to implement the dynamic acquisition of driving scene data and driving behavior data by scenes and modes.

Abstract: The present disclosure discloses a remote login processing method, apparatus, device and storage medium for an unmanned vehicle, and relates to the technical field of remote control. The implementation method of the specific method includes: sending a login request to an unmanned vehicle terminal through a first communication channel in response to a the login request received from an operator, and waiting to receive a reply instruction returned by the unmanned vehicle terminal; returning the reply instruction to the operator through the second communication channel in response to the reply instruction received from the unmanned vehicle terminal, so that the operator logs in the unmanned vehicle terminal according to the reply instruction, where there is a persistent connection state that unidirectionally authenticated between the second communication channel and the unmanned vehicle terminal.

Abstract: The present application provides a map data updating method, an apparatus, a system and a storage medium. The method includes: determining a road section identifier of a road section to be updated in a map; sending data collection instruction information to an unmanned vehicle, where the data collection instruction information includes: the road section identifier, and a current number of collection times of the road section corresponding to the road section identifier; receiving road section information which is sent by the unmanned vehicle and which corresponds to the road section identifier; acquiring a road section updated map according to the road section information; sending the road section updated map to the unmanned vehicle.

Abstract: Embodiments of the present disclosure provide a method for processing vehicle driving mode switching, a vehicle and a server. The method includes: determining (S103) a target switching reason upon detecting that a driving mode of a vehicle is switched from unmanned driving to manned driving; acquiring (S104) status information and/or traveling environment information of the vehicle corresponding to the target switching reason; and sending the status information and/or the traveling environment information, and the target switching reason to a server, to enable the server to analyze the target switching reason, and improve the automatic driving system continuously according to the analysis result.

Abstract: The present disclosure discloses a method, an apparatus, an electronic device and a medium for acquiring map data, and relates to the field of intelligent transportation. A specific implementation solution is: determining a target areas of interest in a map, wherein the map is divided into at least two areas of interest; sending a data acquisition instruction to data acquisition terminals to acquire the map data in the target areas of interest; and receiving the map data fed back from the data acquisition terminal and updating the target areas of interest in the map according to the map data.

Abstract: An information sharing method, apparatus and system applicable to an unmanned vehicle and a device. A specific embodiment of the method includes: collecting travel information of an unmanned vehicle, the travel information being configured to indicate a travel state of the unmanned vehicle; determining driving control information adapted to the travel information, and controlling the unmanned vehicle by using the driving control information; and sending the travel information, the driving control information and a safety sign for indicating the unmanned vehicle being in a safe state to a server, in response to determining the unmanned vehicle being in the safe state, to enable the server to push the travel information, the driving control information and the safety sign to an unmanned vehicle in the travel state indicated by the travel information. The present embodiment achieves an improvement of the driving control efficiency of the unmanned vehicle.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing positioning data, a device, a storage medium and a vehicle. In the method according to the embodiments of the present disclosure, the vehicle is controlled to collect positioning data continuously in the five stages including a first stage for performing dynamic alignment, a second stage for traveling along a path of a character “8”, a third stage for collecting map data, a fourth stage for traveling along a path of the character “8”, and a fifth stage for performing the dynamic alignment, and processing of error convergence is performed on the positioning data collected in the third stage, according to the positioning data collected in the first stage, the second stage, the fourth stage and the fifth stage, to obtain the final positioning data after the error convergence.

Abstract: The present disclosure provides a method, an apparatus and a system for processing unmanned vehicle data, and a storage medium, where the method includes: receiving data acquisition indication information sent by a cloud server; obtaining, according to the data acquisition indication information, target data from a data set; and storing the target data, and/or sending the target data to the cloud server, which can thereby achieve acquisition and storage of data meets a preset condition, reduce amount of data storage of the unmanned vehicle and amount of data sent to the cloud server, save network resources, and improve data transmission efficiency.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for camera calibration processing, a device for vehicle control and a storage medium. In the method according to the embodiments of the present disclosure, at least one pair of images collected by a camera and a vehicle position at a collection time of each of the images are acquired during a process of a vehicle travelling along a straight line, where each pair of images includes images taken by the camera at two different positions, and two images in each pair of images include a common static feature point. A current installation angle of the camera is calculated according to the at least one pair of images and the vehicle position at the collection time of each of the images.

Abstract: The present disclosure provides a method and apparatus for transmitting data of a self-driving vehicle, a device and a storage medium, wherein the method comprises: distinguishing data generated during travel of the self-driving vehicle into real-time data and non-real-time data; transmitting the real-time data into a server through a wireless network in real time; storing the non-real-time data into a vehicle-mounted storage device so that after the self-driving vehicle ends travel, the data stored in the vehicle-mounted storage device are transmitted into the server in a predetermined manner. The solution of the present application may be applied to ensure data integrity.

Abstract: An information sharing method, apparatus and system applicable to an unmanned vehicle and a device. A specific embodiment of the method includes: collecting travel information of an unmanned vehicle, the travel information being configured to indicate a travel state of the unmanned vehicle; determining driving control information adapted to the travel information, and controlling the unmanned vehicle by using the driving control information; and sending the travel information, the driving control information and a safety sign for indicating the unmanned vehicle being in a safe state to a server, in response to determining the unmanned vehicle being in the safe state, to enable the server to push the travel information, the driving control information and the safety sign to an unmanned vehicle in the travel state indicated by the travel information. The present embodiment achieves an improvement of the driving control efficiency of the unmanned vehicle.