Apollo Intelligent Driving Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Wuzhao Zhang

Lei Zhang

Kai Yang

Xiaoyan Wang

Qijuan Yin

Hongda Zhang

Zhuo Chen

Baisheng Wang

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.

Collision detection method, electronic device, and medium

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.

Obstacle detection method, electronic device and storage medium

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.

Vehicle control method and apparatus, electronic device and self-driving vehicle

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.

Collision detection method and apparatus based on an autonomous vehicle, device and storage medium

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.

Vehicle fault handling method, apparatus, device and storage medium

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.

Message processing method, apparatus, electronic control unit and readable storage medium

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.

Method, apparatus, device and storage medium for controlling unmanned vehicle

Embodiments of the present disclosure provide a method for detecting and avoiding a collision applied to a vehicle which determines a first path according to a real-time vehicle status. The method can include: S) predefining a second path according to the real-time vehicle status; S) determining whether the current first path is at risk of a collision, and determining whether the current second path is at risk of a collision; and S) controlling the vehicle with an apparatus using a method for avoiding a collision, in a case where the current first path is at risk of a collision and/or the current second path is at risk of a collision.

Method and apparatus for detecting and avoiding collision applied to vehicle

A method for processing vehicle fault, the method includes obtaining, by a first vehicle fault processing device, first data information of a main system of a vehicle in real time, obtaining second data information of the main system sent by a second vehicle fault processing device, and sending the first data information to the second vehicle fault processing device, so that the second vehicle fault processing device performs fault determination on the main system according to the first data information and the second data information; determining, by the first vehicle fault processing device, whether a fault has occurred in the main system according to the first data information and the second data information; and performing, by the first vehicle fault processing device, corresponding control on the vehicle according to a pre-configured control authority if the fault has occurred in the main system.

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Beijing, China

Wuzhao Zhang