Baidu USA LLC

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

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

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

Other

Beijing Baidu Netcom Science and Technology Co., Ltd.

Vmware, Inc.

Beijing Baidu Netcom Science Technology Co., Ltd

Ning Yu

Fan Zhu

Fan Yang

Jingjing Xue

Xin Xu

Chengfa Wang

Leibing Lv

Dongchun Yao

Yongyi Sun

Junping Wang

Xingyu Wang

Jing Li

Dong Wang

Lin Ma

Chen Chen

Shuang Zhang

Kun Shi

Haifeng Li

Weicheng Zhu

Yan Feng

Haiou Jiang

Wenlong Rao

Yingnan Liu

Feng Yan

Xuan Huang

Gaifan Li

Bei Liu

Yaling Zhang

Xiaohua Yang

Shi Hu

Jiming Mao

Gao Yu

Jing Yan

Lin Meng

Guohao Gong

Mengmeng Tang

Wanqi Chai

Li Wang

Kejian Yu

An Pan

Zhiqi Feng

Pingping Wu

Yongchen Li

Shenglin Qin

Dengxiang Zhuang

A method and an apparatus for controlling lane changing, and a storage medium includes: predicting a target pose of a vehicle changed to a second lane based on a current pose of the vehicle on a first lane in response to a trigger of changing the vehicle from the first lane to the second lane; and determining a lane changing preparation pose of the vehicle on the first lane based on the target pose and at least one parameter of the vehicle.

Method and apparatus for controlling lane changing, and storage medium

The present disclosure provides a vehicle control method, an apparatus, an electronic device and a vehicle, which relates to a technical field of artificial intelligence, such as automatic driving, intelligent transportation and computer vision, etc. The specific implementation solution is that: when passing a traffic light intersection, a vehicle can acquire a traffic light image of the intersection at a driving direction of the vehicle, identify the traffic light image, determine a first light color of a target traffic light corresponding to a lane on which the vehicle is located; and acquire light color change information of the target traffic light latest recorded; determine remained duration of the first light color according to the light color change information, then determine a driving strategy at the intersection of the vehicle according to the first light color and the remained duration of the first light color.

Vehicle control method, apparatus, electronic device and vehicle

In response to a request to park an ADV in a parking lot, a set of parking-trajectories associated with a set of predetermined locations near one or more parking spots in the parking lot may be obtained, where the set of parking-trajectories was previously generated based on prior collected planning and control data of the parking lot. Each parking-trajectory of the set of parking-trajectories may correspond to one parking spot of the one or more parking spots in the parking lot. A parking-trajectory may be selected from the set of parking-trajectories based on a current location of the ADV. The ADV may be controlled to park in a corresponding parking spot according to the selected parking-trajectory.

Parking-trajectory generation method combined with offline and online solutions

A computer-implement method for operating an ADV is disclosed. A starting point and an ending point of a route along which an ADV is to be driven is determined. Whether each of the starting point and the ending point is within a first driving area having a lane boundary or a second driving area as an open space is determined. The route is divided into a first route segment and a second route segment. Dependent upon whether the starting point or the ending point is within the first driving area or the second driving area, the method comprises operating in one of an on-lane mode or an open-space mode to plan a first trajectory for the first route segment and operating in one of the on-lane mode or the open-space mode to plan a second trajectory for the second route segment.

Mixed regular and open-space trajectory planning method for autonomous driving vehicle

Provided are a vehicle driving control method and apparatus. The method includes: determining, according to driving data of a vehicle, at least one piece of candidate speed information of the vehicle, the candidate speed information is used to indicate traveling speed of the vehicle at each moment in a first preset time period; predicting, according to movement data of an obstacle on a road, an obstacle trajectory of the obstacle in the first preset time period; determining right-of-way information corresponding to the obstacle trajectory, the right-of-way information is used to indicate a priority in traveling of the vehicle and the obstacle; and determining target speed information in the at least one piece of candidate speed information according to the right-of-way information corresponding to the obstacle trajectory and the obstacle trajectory, and controlling the vehicle to travel according to a route corresponding to the vehicle and the target speed information.

Vehicle driving control method and apparatus

A starting point, a set of one or more way points, and a destination point of a route along which the ADV is to be driven are determined. All lane segments near the starting point, the set of way points, and the destination point within a predetermined threshold distance are determined respectively. A set of route candidates are determined with an A-star (A*) searching algorithm based on a set of nodes representing all the lane segments near the starting point, the set of way points, and the destination point respectively. The route is selected from the set of route candidates based on respective costs of the set of route candidates. The ADV is being controlled to drive along the selected route autonomously.

Navigation route planning method for autonomous vehicles

A computer-implement method for operating an ADV is disclosed. A first trajectory for the ADV to drive along is planned. The ADV is to autonomously drive along the first trajectory. An obstacle in an affected region of the ADV is detected based on sensor data obtained from a plurality of sensors mounted on the ADV. An expected residence time of the obstacle in the affected region is determined. Whether to plan a second trajectory or to wait for the obstacle to leave the affected region is determined based on the expected residence time of the obstacle in the affected region. A second trajectory for the ADV to drive along is planned and the ADV is to autonomously drive along the second trajectory, or the ADV is to wait for the obstacle to leave the affected region and to autonomously drive along the first trajectory afterwards.

Trajectory planning with obstacle avoidance for autonomous driving vehicles

A method for simulating an obstacle in an unmanned simulation scene includes: for obstacle information in a three-dimensional scene map, determining Gaussian distribution information of obstacle position detected by using a perception algorithm to be tested based on actual perception performance of the perception algorithm; adjusting each position of the simulated obstacle in the initial motion trajectory sequence, such that a position deviation between each adjusted position point in the target motion trajectory sequence and the corresponding position point in the initial motion trajectory sequence follows a Gaussian distribution; and adding the target motion trajectory sequence of the simulated obstacle to the three-dimensional scene map.

Method for simulating obstacle in unmanned simulation scene

A method and apparatus for determining a turn-round path of a vehicle, a device and a storage medium are provided. An embodiment of the method includes: determining a starting position and a target position for the vehicle to turn round on a road; determining, based at least partially on road information associated with the road and vehicle information associated with the vehicle, a candidate turn-round path between the starting position and the target position; evaluating the feasibility of the candidate turn-round path; and determining, based on the evaluation on the feasibility, a turn-round path by which the vehicle is to turn round on the road.

Method and apparatus for determining turn-round path of vehicle, device and medium

Embodiments of the present disclosure provide a method and an apparatus for controlling a vehicle, a device and a storage medium. The method includes: in response to determining that a target vehicle is located in a historical takeover area, obtaining historical control information associated with passing through a historical path in the historical takeover area, the historical takeover area indicating an area through which a vehicle in a manual control state passed in a previous period; determining a planned path for the target vehicle to pass through the historical takeover area based on the historical control information; and controlling the target vehicle to pass through the historical takeover area in an automatic control state based on the planned path.

Method and apparatus for controlling vehicle, device and storage medium

Embodiments of the present disclosure disclose a method for controlling an autonomous vehicle to pass through a curve, a device and a medium, and relate to the field of autonomous driving technologies. At least one implementation of the method for controlling an autonomous vehicle to pass through a curve includes: determining a curve boundary within a sensing area in a current driving direction of the autonomous vehicle based on a current position of the autonomous vehicle on the curve; determining a current safe stopping distance of the autonomous vehicle on the curve based on current driving parameters of the autonomous vehicle and the curve boundary; determining a speed threshold of the autonomous vehicle based on the current safe stopping distance, braking parameters of the autonomous vehicle and a curve curvature corresponding to the current position; and controlling a speed of the autonomous vehicle not to exceed the speed threshold.

Method for controlling autonomous vehicle to pass through curve, electronic device and medium

In one embodiment, an exemplary method of autonomously charging an autonomous driving vehicle includes receiving, from a sensor in an autonomous driving vehicle (ADV), indication that a batter level of the ADV falls below a threshold; and selecting a charging pile from a plurality of charging piles on a high definition map based on information received from a cloud server. The method further includes generating a first trajectory based on a current location of the ADV and a location of the selected charging pile, the first trajectory connecting a first point representing the current location of the ADV to a second point at the selected charging pile, and including a first segment and a second segment. The method further includes driving forward along the first segment of the first trajectory, and driving backward along the second segment of the first trajectory when the ADV drives towards the selected charging pile along the first trajectory.

Method of parking an autonomous driving vehicle for autonomous charging

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

In response to a request to pull over an ADV at a destination point at a side of a lane, a path including a first segment, a second segment and a transition point is planned. The transition point is determined based on at least one of a distance to the destination point or a predetermined distance to a boundary of the side of the lane. The first segment from a start point to the transition point is generated by using a quadratic programming (QP) operation. The second segment from the transition point to the destination is generated based on a shape of the boundary. The ADV is controlled to pull over to the destination point according to the planned path.

Pull over method based on quadratic programming for path planning

Provided are a pass route planning method and apparatus, a device and a readable storage medium. The method includes: obtaining current road environment information in front of a vehicle; determining a current passable area according to the current road environment information; setting pass candidate points in the current passable area; and determining a current optimal passable route according to the pass candidate points. Firstly, the passable area is determined, and then the pass candidate points are set in the passable area, and thus the current optimal passable route is calculated according to the pass candidate points in the passable area, which can effectively reduce a calculation amount of unreachable pass routes in the prior art in which candidate points are set in all areas directly in front of an unmanned vehicle, thereby reducing a calculation amount for planning a pass route and improving a planning speed of the pass route.

Pass route planning method and apparatus, device and readable storage medium

Growing community of inventors

Beijing, China

Ning Yu