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

Baidu USA LLC

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

Beijing Baidu Netcom Science and Technology Co., Ltd.

Baidu.com Times Technology (beijing) Co. Ltd.

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

Junping Wang

Fan Yang

Chengfa Wang

Shuang Zhang

Bin Gao

Jingjing Xue

Xiaoxing Zhu

Yongyi Sun

Guohao Gong

Lijun Ju

Chen Chen

Ning Yu

Wenlong Rao

Zelin Wu

Dongchao Gao

Mengmeng Tang

Wanqi Chai

Tiankun Zhao

Yue Wang

Fan Zhu

Jing Li

Lei Zhu

Xin Xu

Lei Zhang

Haifeng Li

Ji Tao

Yan Feng

Yingnan Liu

Xuan Huang

Leibing Lv

Bei Liu

Shi Hu

Lintao Li

Xiaohua Yang

Gao Yu

Zongtao Fan

Bolei Wang

Guangzhong Liu

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

According to various embodiment, described herein are methods and systems for reliably detecting malfunctions in a variety of software or hardware components in an autonomous driving vehicle (ADV). In one embodiment, a redundant system can be provided on an independent computing device in an ADV to check for malfunctions in a number of software or hardware components. When no malfunction occurs in the ADV, an autonomous driving system (ADS) in the ADV operates to drive the ADV, while the redundant system can monitor the ADS in a standby mode. In the event of a malfunction, the redundant system can take over the control of the ADV, and take appropriate actions based on a severity level of the malfunction.

Fail-safe handling system for autonomous driving 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

A method and apparatus for calibrating a camera are provided. A specific embodiment of the method includes: acquiring an image-point cloud sequence, the image-point cloud sequence including at least one group of an initial image and point cloud data collected at a same time, the initial image being collected by a camera provided on an autonomous vehicle and the point cloud data being collected by a radar provided on the autonomous vehicle; determining target point cloud data of initial images corresponding to groups of image-point cloud in the image-point cloud sequence; and matching the target point cloud data with the corresponding initial images in the image-point cloud sequence to determine a correction parameter of the camera.

Method and apparatus for calibrating camera

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 method and a device for autonomous driving control, a vehicle, a storage medium and an electronic device. The method includes: obtaining first actual position data of a first vehicle body; obtaining relative position data between a second vehicle body and the first vehicle body; determining second actual position data of the second vehicle body according to the first actual position data and the relative position data, so that the vehicle performs autonomous driving control according to the first and second actual position data. The method can obtain the relative position between two vehicle bodies connected in the non-rigid manner and the real-time positions of the two vehicle bodies under different driving conditions in real time during the driving, can accurately depict the dynamic characteristics of two vehicle bodies, so that the vehicle performs autonomous driving control according to the first and second actual position data.

Method and device for autonomous driving control, vehicle, storage medium and electronic device

A method and an apparatus for controlling interaction between a vehicle and a vehicle-mounted device are provided according to embodiments of the disclosure. The method includes: determining whether the vehicle is in a parking state; acquiring input operation information of a user, in response to determining the vehicle being in the parking state; determining whether there is as operation matching the input operation information based on the input operation information; and sending control information for executing the operation to the vehicle-mounted device, in response to determining there being the operation matching the input operation information. The embodiment achieves controlling the vehicle-mounted device based on the vehicle state and the user input.

Method and apparatus for controlling interaction between vehicle and vehicle-mounted device

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

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.

Method and apparatus for outputting information

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.

Method for measuring sensing range of vehicle, device and medium

A method and an apparatus for controlling an autonomous vehicle are provided according to the embodiments of the disclosure. The method includes: sending, in response to determining that a pedestrian is in a first target area, behavior prompt information representing prompting the pedestrian to make a corresponding behavior; determining whether a deceleration condition matching the behavior prompt information is satisfied based on acquired behavior information of the pedestrian; and sending control information for reducing a moving speed of the autonomous vehicle, in response to determining that the deceleration condition is satisfied and determining that a speed of the autonomous vehicle is greater than a preset deceleration threshold. According to the embodiments, deceleration control of the autonomous vehicle is achieved based on the response of the pedestrian to the behavior prompt information.

Method and apparatus for controlling autonomous vehicle

A method, an apparatus, a computer device and a storage medium for autonomous driving determination are proposed. The method includes: obtaining information about a driving scenario of an autonomous vehicle when a preset trigger condition is met; comparing the information about the driving scenario with an autonomous driving capability of the autonomous vehicle; determining, according to a comparison result, whether the autonomous vehicle is adapted to employ an autonomous driving mode in the driving scenario. The technical solution of the present disclosure may be applied to improve the safety of the vehicle and the user.

Method, apparatus, computer device and storage medium for autonomous driving determination

The present application discloses a combinatory sensor apparatus. The apparatus includes a sensor mounting frame and at least one sensor; the sensor mounting frame includes a sensor mounting base plate and at least one sensor support component, the sensor mounting base plate is mounted on a top of a driverless vehicle, and the at least one sensor support component is mounted on the sensor mounting base plate for supporting the at least one sensor; and the at least one sensor includes a global positioning system antenna and/or a laser radar. This implementation guarantees the consistency of sensor installation locations.

Growing community of inventors

Beijing, China

Junping Wang