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

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

Beijing Baidu Netcom Science and Technology Co., Ltd.

Chengfa Wang

Fan Yang

Yongyi Sun

Junping Wang

Xiaoxing Zhu

Jingjing Xue

Ning Yu

Qiqi Xu

Xuan Huang

Bin Gao

Shuang Zhang

Hui Yuan

Lijun Ju

Zelin Wu

Dongchao Gao

Guohao Gong

Tiankun Zhao

Yue Wang

Fan Zhu

Lei Zhang

Leibing Lv

Gaifan Li

Wei Ouyang

Dan Chen

Junkui Qiao

An autonomous vehicle includes: a plurality of side laser radars respectively provided on a plurality of side portions of the autonomous vehicle, each of the plurality of side laser radars being partially embedded in a corresponding side portion of the plurality of side portions; and a top laser radar provided on a top portion of the autonomous vehicle and configured to obtain environmental information around the autonomous vehicle together with the plurality of side laser radars. By providing the plurality of laser radars, a sensing blind spot of the autonomous vehicle may be avoided.

Autonomous vehicle

Embodiments of the present disclosure relate to an autonomous vehicle and a system for the autonomous vehicle. The system may include: a power supply including a first power output and a second power output; a master computing unit arranged to be powered by the first power output, configured to control operations of the autonomous vehicle in response to detecting the second power output, and configured to provide a third power output by adjusting the first power output; and a slave computing unit arranged to be powered by the second power output, and configured to control the operations of the autonomous vehicle in response to detecting a failure of the master computing unit.

Autonomous vehicle and system for autonomous vehicle

A method, including: acquiring a point cloud frame including point cloud data of a pedestrian; projecting the point cloud data of the pedestrian to a ground coordinate system to obtain projection point data of the pedestrian; determining a direction of a connection line between the two shoulders of the pedestrian, based on a location distribution of the projection point data; extracting a point cloud of a stable region from the point cloud data of the pedestrian based on the direction of the connection line between the two shoulders of the pedestrian, a form change range of the stable region when the pedestrian moves being smaller than form change ranges of other regions of the pedestrian; and determining movement information of the pedestrian based on a coordinate of a center point of the point cloud of the stable region in a plurality of consecutive point cloud frames.

Method and apparatus for detecting pedestrian

Embodiments of the present disclosure provide a method and apparatus for detecting an obstacle. The method may include: acquiring first point cloud data collected by a first vehicle-mounted laser radar and second point cloud data collected by a second vehicle-mounted laser radar, where a height of the first vehicle-mounted laser radar from a ground is greater than a height of the second vehicle-mounted laser radar from the ground, and a number of wiring harnesses of the first vehicle-mounted laser radar is greater than a number of wiring harnesses of the second vehicle-mounted laser radar; performing ground estimation based on the first point cloud data; filtering out a ground point in the second point cloud data according to the ground estimation result of the first point cloud data; and performing obstacle detection based on the second point cloud data after the ground point is filtered out.

Method and apparatus for detecting obstacle

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.

Data acquisition method, apparatus, device and computer-readable storage medium

A time-segmented signal timing method is related to the field of intelligent transportation. The specific implementation is: obtaining traffic volume data of a target intersection in each period of time of N consecutive days, N being an integer greater than 1; performing curve fitting on the traffic volume data to determine a traffic volume curve corresponding to the target intersection of each day; determining calculating respective target points in the traffic volume curve with second derivatives satisfying a preset condition; and performing time-segmented signal timing on a traffic light at the target intersection based on time points corresponding to the respective target points.

Time-segmented signal timing method and apparatus for traffic light, electronic device and storage medium

A method and an electronic device for detecting a vehicle queue length are disclosed. The method includes: when determining that a traffic light turns green, obtaining vehicle information of each vehicle on a lane section to be detected in a first preset time period before a time point when the traffic light turns green; determining at least one vehicle that has a static position and a static time point on the lane section to be detected; determining a first queuing vehicle and a last queuing vehicle on the lane section to be detected based on the at least one vehicle that has the static position and the static time point on the lane section to be detected; and determining a vehicle queue length on the lane section to be detected based on a position of the first queuing vehicle and a position of the last queuing vehicle.

Method for detecting vehicle queue length

A method and apparatus for adjusting channelization of a traffic intersection are proposed. The specific implementation of the method is: obtaining a first traffic characteristic of vehicles at each of a plurality of target positions in a process of vehicles in a target traveling direction traveling through the traffic intersection from upstream to downstream in a preset first time period; generating first traffic change information of the traffic intersection based on the first traffic characteristic at each of the plurality of target positions; and in response to that the first traffic change information satisfies a preset first change distribution, generating channelization adjustment information for non-motorized vehicle lanes of the traffic intersection.

Method and apparatus for adjusting channelization of traffic intersection

A method, an apparatus, an electronic device, and a storage medium for monitoring an image acquisition device are provided, which are related to a field of computer vision technology. The method for monitoring the image acquisition device includes: determining a stop position of each target vehicle from a first video image acquired by the image acquisition device; determining a marking line in the first video image according to the stop positions of their respective target vehicles, and determining a deviation amount of the marking line in the first video image from a reference making line, and determining that the image acquisition device has deviated in a case that the deviation amount reaches a predetermined condition. The workload of manual detection is reduced, and the accuracy of deviation amount monitoring is increased by comparing the marking line with the reference marking line.

Method, apparatus, electronic device, and storage medium for monitoring an image acquisition device

The present disclosure provides a method and an apparatus for processing a vehicle collision, a vehicle, a device and a storage medium. The method includes: obtaining vehicle state information of a target vehicle; the vehicle state information includes: acceleration information of the target vehicle and/or pressure information of a peripheral part in the target vehicle; determining whether a collision occurs to the target vehicle; sending, when it is determined that the collision occurs to the target vehicle, an ejection instruction is sent to an ejection execution mechanism in the target vehicle, the ejection instruction is used to instruct to eject a baffle located at a target position to contact the ground. The baffle is ejected immediately when the present disclosure detects that a collision occurs to the vehicle, which can avoid a secondary collision of the vehicle, thereby improving the safety performance of the vehicle.

Method and apparatus for processing vehicle collision, vehicle, device and storage medium

Embodiments of the present disclosure disclose a vehicle fault processing method, a device and a medium, and relate to the field of autonomous driving technologies. The vehicle fault processing method includes: obtaining operating index data of a target vehicle and driving environment information of the target vehicle, the operating index data being configured to determine an operating condition of the target vehicle; determining whether a fault occurs in the target vehicle based on the operating index data; and when a fault occurs in the target vehicle, controlling the target vehicle to place a warning sign at a preset position based on the driving environment information.

System and method for dispensing a warning device from an autonomous vehicle

A method, apparatus, device, and medium for verifying vehicle information are provided. A specific implementation scheme is: determining a target coding precision and a target coding mode of a target data packet to be transmitted; coding the target data packet based on the target coding precision and the target coding mode, to determine target verification information of the target data packet; and transmitting the target data packet and the target verification information, to instruct a receiving-end vehicle to verify the target data packet based on the target verification information.

Method, apparatus, device, and medium for verifying vehicle information

A method and apparatus for detecting and tracking a target, an electronic device and a storage medium are provided. The method includes: cameras, detection modules, tracking modules and storage queues are provided in advance; the numbers of cameras, storage queues and tracking modules are equal, and there is a one-to-one correspondence between the cameras and the storage queues and between the cameras and the tracking modules; distributing data streams collected by the cameras to the plurality of detection modules; detecting, by the detection modules, the received data streams, and sending detection results of the data streams collected by the cameras, to the storage queues corresponding to the cameras; and extracting, by the tracking modules corresponding to the cameras, the detection results from the storage queues corresponding to the cameras, and using the detection results for tracking the target.

Method and apparatus for detecting and tracking target, electronic device and storage media

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.

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.

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Beijing, China

Chengfa Wang