Abstract: A vehicle control method, a vehicle control apparatus, an electronic device and a self-driving vehicle all relates to the field of self-driving and intelligent transportation technologies. The method includes: when a vehicle is moving, in a case that an occluding object is detected, determining a hard brake speed limit point and a potential collision point according to a planned path of the vehicle and position information of the occluding object; calculating a speed limit value of the hard brake speed limit point based on a distance between the hard brake speed limit point and the potential collision point; in a case that a planned speed of the vehicle at the hard brake speed limit point is less than or equal to the speed limit value, controlling the vehicle to move at the planned speed.

Abstract: There is provided an obstacle detection method, an electronic device and a storage medium, which relates to the field of computer technologies, and particularly to the fields of autonomous driving technologies, intelligent transportation technologies, Internet of Things technologies, deep learning technologies, or the like. The method for detecting obstacle includes: detecting an obstacle in a vehicle traveling process using plural obstacle detection manners to obtain plural initial detection results of the obstacle, the plural initial detection results corresponding to the plural obstacle detection manners; fusing the plural initial detection results to obtain a fusion result; and obtaining a final detection result of the obstacle based on the fusion result.

Abstract: Embodiments of the present application provide a collision detection method and apparatus based on an autonomous vehicle, a device and a storage medium, where the method includes: acquiring first point cloud data of each obstacle in each region around the autonomous vehicle, where the first point cloud data represents coordinate information of the obstacle and the first point cloud data is based on a world coordinate system; converting the first point cloud data of the each obstacle into second point cloud data based on a relative coordinate system, where an origin of the relative coordinate system is a point on the autonomous vehicle; determining, according to the second point cloud data of the each obstacle in all regions, a possibility of collision of the autonomous vehicle. A de-positioning manner for collision detection is provided, thereby improving the reliability and stability of collision detection.

Abstract: A collision detection method, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, and in particular to fields of intelligent transportation and autonomous driving technologies. The method includes: determining a predicted travel range of a target object based on a planned travel trajectory of the target object and a historical travel trajectory of the target object; determining, in response to a target obstacle being detected, a predicted travel range of the target obstacle based on a current travel state of the target obstacle; and determining whether the target object has a risk of colliding with the target obstacle, based on the predicted travel range of the target object and the predicted travel range of the target obstacle.

Abstract: A method for autonomous driving, an electronic device and a storage medium are provided. The method may include: planning a control mode of a target vehicle through an initial planning algorithm, to obtain an initial control mode; determining a first precondition that the target vehicle in an expected traveling state satisfies a preset safety rule, the expected traveling state being an expected state of the target vehicle after the target vehicle is controlled according to the initial control mode; determining whether the first precondition is established; and if yes, controlling the target vehicle according to the initial control mode.

Abstract: The present application provides a vehicle fault handling method, an apparatus and a storage medium, the method includes: acquiring in real-time, by a first vehicle fault handling device, status information of a second vehicle fault handling device, where the first vehicle fault handling device is further configured to monitor a main system of a vehicle in real-time, the second vehicle fault handling device is configured to monitor a first computing device, and the first vehicle fault handling device and the main system are provided in the first computing device; determining, by the first vehicle fault handling device, whether a fault has occurred in the second vehicle fault handling device according to the status information thereof; and performing, by the first vehicle fault handling device, fault handling if a fault has occurred in the second vehicle fault handling device.

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: 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 present disclosure provides an method, an apparatus, a device and a storage medium for controlling an unmanned vehicle, where the method includes: receiving control messages transmitted by at least two automatic driving physical apparatuses, where the control messages include indication information; determining an optimal control message according to the indication information in each of the control messages; transmitting the optimal control message to a device for controlling an unmanned vehicle, so that the device for controlling an unmanned vehicle performs driving control on the unmanned vehicle according to the optimal control message. When a plurality of automatic driving physical apparatuses transmit control messages, at this time, the control messages are redundant, and a control message can be selected for execution, so that the unmanned vehicle can receive a control signal in time, which is beneficial to the safe driving of the unmanned vehicle.

Abstract: A vehicle control method, a vehicle control apparatus, an electronic device and a self-driving vehicle all relates to the field of self-driving and intelligent transportation technologies. The method includes: when a vehicle is moving, in a case that an occluding object is detected, determining a hard brake speed limit point and a potential collision point according to a planned path of the vehicle and position information of the occluding object; calculating a speed limit value of the hard brake speed limit point based on a distance between the hard brake speed limit point and the potential collision point; in a case that a planned speed of the vehicle at the hard brake speed limit point is less than or equal to the speed limit value, controlling the vehicle to move at the planned speed.

Abstract: The present disclosure provides a task scheduling method, an apparatus, a device and a computer readable storage medium provided by the, and an implementation solution thereof includes: identifying obstacle information of an obstacle around a vehicle; determining a safety level of the obstacle according to driving information and the obstacle information of the vehicle; determining a driving task according to the obstacle information, determining a safety level of the driving task according to the safety level of the obstacle corresponding to the obstacle information; and performing a task scheduling according to the safety level of the driving task. The method, the apparatus, the device and the computer readable storage medium provided by the present disclosure can perform the task with the highest safety level preferentially and avoid a situation in which an urgent situation is unable to be dealt with in time.

Abstract: Embodiments of the present application provide a collision detection method and apparatus based on an autonomous vehicle, a device and a storage medium, where the method includes: acquiring first point cloud data of each obstacle in each region around the autonomous vehicle, where the first point cloud data represents coordinate information of the obstacle and the first point cloud data is based on a world coordinate system; converting the first point cloud data of the each obstacle into second point cloud data based on a relative coordinate system, where an origin of the relative coordinate system is a point on the autonomous vehicle; determining, according to the second point cloud data of the each obstacle in all regions, a possibility of collision of the autonomous vehicle. A de-positioning manner for collision detection is provided, thereby improving the reliability and stability of collision detection.

Abstract: The present disclosure provides an method, an apparatus, a device and a storage medium for controlling an unmanned vehicle, where the method includes: receiving control messages transmitted by at least two automatic driving physical apparatuses, where the control messages include indication information; determining an optimal control message according to the indication information in each of the control messages; transmitting the optimal control message to a device for controlling an unmanned vehicle, so that the device for controlling an unmanned vehicle performs driving control on the unmanned vehicle according to the optimal control message. When a plurality of automatic driving physical apparatuses transmit control messages, at this time, the control messages are redundant, and a control message can be selected for execution, so that the unmanned vehicle can receive a control signal in time, which is beneficial to the safe driving of the unmanned vehicle.

Abstract: The present application provides a vehicle fault handling method, an apparatus, a device, and a storage medium, where the method includes: a vehicle fault handling device obtains data information of a main system of the vehicle in real time; the vehicle fault handling device determines whether the main system has a fault according to the data information; and the vehicle failure processing device controls travelling status of the vehicle if the main system has a fault. Safety hazards of the vehicle that are caused by the fault in the main system can be avoided and the safety of the driverless vehicle can be enhanced effectively.

Abstract: The present application provides a vehicle fault handling method, an apparatus and a storage medium, the method includes: acquiring in real-time, by a first vehicle fault handling device, status information of a second vehicle fault handling device, where the first vehicle fault handling device is further configured to monitor a main system of a vehicle in real-time, the second vehicle fault handling device is configured to monitor a first computing device, and the first vehicle fault handling device and the main system are provided in the first computing device; determining, by the first vehicle fault handling device, whether a fault has occurred in the second vehicle fault handling device according to the status information thereof; and performing, by the first vehicle fault handling device, fault handling if a fault has occurred in the second vehicle fault handling device.

Abstract: Provided are a method, an apparatus, a device and a storage medium for controlling an unmanned vehicle, where the method 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 present disclosure provides a positioning drift detecting method, apparatus, device and computer readable medium, where the method includes: obtaining driving information of a driverless vehicle at a current time point; predicting an estimated driving range of the driverless vehicle at a next time point according to the driving information at the current time point, where there is a preset time interval between the current time point and the next time point; obtaining driving information of the driverless vehicle at the next time point; and determining whether the driving information at the next time point is within the estimated driving range, and performing a corresponding operation according to a determination result. As a result, it is possible to accurately determine whether or not a drift occurs currently, thereby preventing a driving accident of the driverless vehicle and improving a driving safety of the driverless vehicle.

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.