Abstract: Embodiments of the present disclosure disclose a method and an apparatus for determining a static state of an obstacle, a device and a storage medium. The method includes the following. Real-time obstacle velocities are obtained by detecting an obstacle via at least two sensors. A belief function assignment value of each sensor is calculated for at least two status parameters respectively according to the real-time obstacle velocity corresponding to each sensor. The belief function assignment value of each sensor is fused for each status parameter with a D-S evidence combination technology to obtain a fused belief function assignment value corresponding to each status parameter. A static state of the obstacle is judged according to the fused belief function assignment value corresponding to each status parameter.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for clock synchronization, a device, a storage medium and a vehicle. The method includes: determining a first pose change of an image acquirer with respect to a reference coordinate system at different image acquisition time points; determining a second pose change of a calibration acquirer with respect to the reference coordinate system at different corrected image acquisition time points, in which, the different corrected image acquisition correction time points are determined according to the different image acquisition time points and each predetermined correction time variable; and performing a clock synchronization on the image acquirer and the calibration acquirer according to the first pose change of the image acquirer and the second pose change of the calibration acquirer corresponding to the each correction time variable.

Abstract: Provided are a message processing method, an apparatus, an electronic control unit, and a readable storage medium. The method includes configuring different sending times for any two different electronic control units corresponding to the same message ID in sending time configuration information of electronic control units; and when sending messages to a CAN bus, sending, by the electronic control units, the messages to the CAN bus at available sending times according to corresponding sending time configuration information, so that the time for any two different electronic control units corresponding to the same message ID to send messages to the CAN bus is separated. The method can improve the safety of the unmanned system.

Abstract: Embodiments of the present disclosure provide a method and apparatus for determining a velocity of an obstacle, a device, and a medium. An implementation includes: acquiring a first point cloud data of the obstacle at a first time and a second point cloud data of the obstacle at a second time; registering the first point cloud data and the second point cloud data by moving the first point cloud data or the second point cloud data; and determining a moving velocity of the obstacle based on a distance between two data points in a registered data point pair.

Abstract: Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.

Abstract: Embodiments of the present disclosure relate to an autonomous vehicle and a system for the autonomous vehicle. The system may include a master computing unit configured to control operations of the autonomous vehicle; a slave computing unit communicatively coupled to the master computing unit and configured to control the operations of the autonomous vehicle in response to detecting a failure of the master computing unit; at least one lidar configured to acquire environmental information around the autonomous vehicle; and a switch communicatively coupled to the at least one lidar, the master computing unit and the slave computing unit, and configured to provide the environmental information to the master computing unit and the slave computing unit for controlling the autonomous vehicle.

Abstract: The present disclosure provides a method and an apparatus for autonomously driving a vehicle. The method includes: recognizing a centerline of a lane on which a current vehicle is driving; acquiring a lateral distance between the current vehicle and the centerline of the lane, and a real-time speed and a real-time motion curvature of the current vehicle; calculating the lateral distance, the real-time speed, and the real-time motion curvature, based on a preset first spiral line equation, to acquire parameters of a reference spiral line; calculating the parameters, the real-time speed, and the real-time motion curvature, based on a preset second spiral line equation, to acquire a current spiral line; and determining an steering angle instruction of a steering wheel based on a first curvature of the current spiral line; and controlling the current vehicle for autonomous driving based on the steering angle instruction.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for detecting ground point cloud points. The method may include: determining a segmentation plane and a ground based on a point cloud collected by a lidar; segmenting the point cloud into a first sub point cloud and a second sub point cloud based on the segmentation plane; and determining the point cloud points whose distances from the ground are smaller than a first distance threshold in the first sub point cloud as ground point cloud points, and determining the point cloud points whose distances from the ground are smaller than a second distance threshold in the second sub point cloud as the ground point cloud points, where the first distance threshold is smaller than the second distance threshold.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method may include: acquiring point cloud data and image data collected by a vehicle during a driving process; determining a plurality of time thresholds based on a preset time threshold value range; executing following processing for each time threshold: identifying obstacles included in each point cloud frame and each image frame respectively; determining a similarity between the obstacles; determining, in response to the similarity being greater than a preset similarity threshold, whether a time interval between the point cloud frame and the image frame corresponding to two similar obstacles is less than the time threshold; and processing recognized obstacles based on a determining result, to determine the number of obstacles; and determining, based on a plurality of numbers, and outputting a target time threshold.

Abstract: The present disclosure provides a remote control method, apparatus, device and computer readable storage medium, the method including: receiving, by a cloud server, a control instruction transmitted from a third-party device, the control instruction comprising a vehicle identification and operation information; and transmitting the control instruction to an unmanned vehicle corresponding to the vehicle identification according to the vehicle identification, enabling the unmanned vehicle to act on the operation information. By establishing a communication connection between the third-party device, the unmanned vehicle and the cloud server, remote maneuvering of the unmanned vehicle can be implemented, a flexibility in controlling the unmanned vehicle improved.

Abstract: A method for controlling an unmanned vehicle includes: acquiring unmanned vehicle monitoring information of the unmanned vehicle when it is determined that a course of the unmanned vehicle will be out of control; determining a safety level corresponding to the unmanned monitoring information according to a predefined correspondence between unmanned vehicle monitoring information and a safety level; and controlling, according to the safety level corresponding to the unmanned monitoring information, the unmanned vehicle to drive. Thus, upon determining that the unmanned vehicle has gone beyond a boundary of the autopilot, the problem is identified that the unmanned vehicle will encounter a danger in driving. Then, the autopilot process of the unmanned vehicle is demoted according to the severity of the danger, e.g., decelerated or adjusted in its direction, to avoid safety hazards.

Abstract: The embodiments of the present disclosure provide a method, an apparatus, a device and a medium for processing topological relation of tasks. The method includes: extracting at least one execution element from each of processing tasks based on a topological relation recognition rule; determining a dependency relation among the processing tasks according to content of the execution element of each processing task; and determining a topological relation among the processing tasks according to the dependency relation among the processing tasks.

Abstract: Provided are a method and an apparatus for controlling vehicle operations, and a computer device. The method includes: acquiring current running status information of an in-vehicle component and current user operating behavior information sent by a first vehicle; determining a current running status score of the first vehicle according to the current running status information of the in-vehicle component and the current user operating behavior information from the first vehicle; and generating an operation strategy for the first vehicle according to the current running status score of the first vehicle.

Abstract: Embodiments of the present application provide a method, an apparatus, and a device for identifying a passenger state in an unmanned vehicle, and a storage medium. The method comprises: obtaining monitoring data of different dimensions in a process where the passenger takes the unmanned vehicle; performing feature extraction on the monitoring data of the different dimensions and forming feature data of different dimensions; and identifying the passenger state according to the feature data of the different dimensions. By obtaining the monitoring data of various dimensions in the process where the passenger takes the unmanned vehicle to identify the passenger state, it is possible to omnidirectionally monitor the personal is safety and property safety of the passengers, and effectively protect the passenger taking the unmanned vehicle.

Abstract: The disclosure provides an automatic driving system, a vehicle control method and a device. The automatic driving system includes a main monitoring equipment, a secondary monitoring equipment, at least one equipment to be detected, and a standby equipment corresponding to each equipment to be detected; the primary monitoring equipment and the secondary monitoring equipment are connected to each equipment to be detected and the standby equipment corresponding to each equipment to be detected; the primary monitoring equipment is connected to the secondary monitoring equipment. The above system and control method ensure that an equipment of the vehicle is is abnormal, the vehicle can be switched to a standby equipment of the equipment in time, which greatly reduces an incidence of a safety accident caused by a failure of the equipment.

Abstract: Embodiments of the present disclosure provide a danger warning method for a vehicle, a danger warning device for a vehicle, and medium. The method includes: receiving a plurality of sensing data sets from a plurality of environmental monitoring devices that monitor a plurality of geographical ranges; determining a danger degree of respective object in the plurality of geographical ranges with respect to the vehicle based on the plurality of sensing data sets; and providing a danger warning instruction to the vehicle in response to determining that the danger degree is greater than a degree threshold. Each of the plurality of sensing data sets includes relevant information about objects in the corresponding geographical range, and the plurality of environmental monitoring devices are arranged away from the vehicle. The danger degree is configured to indicate a possibility that the object will endanger safe driving of the vehicle.

Abstract: The present disclosure provides a method and an apparatus for scheduling a task, a device and a medium. The method includes: obtaining a processing task to be executed from a task queue via a main thread bound to a processor, in which the processor is configured to execute the main thread, to execute the processing task; obtaining a newly triggered processing task; in response to determining that a priority of the newly triggered processing task is greater than or equal to a priority of the processing task executed on the main thread, assigning the newly triggered processing task to a standby thread; and dispatching and assigning a processor from at least one processor through the system kernel to execute the standby thread.

Abstract: A vehicle track prediction method and device, a storage medium and a terminal device are provided. The method includes: determining an obstacle vehicle entering a junction region in a case that an autonomous vehicle enters the junction region; acquiring historical traveling data of the obstacle vehicle in the junction region; predicting a potential track of the obstacle vehicle according to the historical traveling data and a current traveling state of the obstacle vehicle; and predicting a track of the autonomous vehicle in the junction region according to the potential track of the obstacle vehicle and a current traveling state of the autonomous vehicle. A decision making accuracy in self-driving may be effectively improved, and a driving risk may be reduced.

Abstract: The present disclosure provides a method for measuring a sensing range of a vehicle, a device and a medium, and relates to a technical field of automatic driving. The method includes: determining a target road side unit to be measured according to a road side unit identifier; when it is detected that the vehicle receives a road-side message from the target road side unit, determining vehicle positioning information of the vehicle when the road-side message is received; and determining a sensing range of the vehicle to the target road side unit in a target lane in which the vehicle travels according to the vehicle positioning information.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for outputting obstacle information. A specific embodiment of the method comprises: determining a candidate direction information set of a target obstacle point cloud; determining, for each piece of candidate direction information in the candidate direction information set, a target value of the target obstacle point cloud in a direction indicated by the candidate direction information based on the target obstacle point cloud and a smallest circumscribing rectangle of the target obstacle point cloud in the direction indicated by the candidate direction information; defining candidate direction information having a minimum target value in the candidate direction information set as direction information corresponding to the target obstacle cloud point; and outputting the direction information corresponding to the target obstacle cloud point, thereby improving the abundance of content of outputted obstacle information.