Abstract: An obstacle detecting method, apparatus, device and computer storage medium are proposed. The method includes: obtaining data acquired by a plurality of sensors installed on a vehicle at the same time; combining the data acquired at the same time to obtain a data set corresponding to the time; and performing obstacle detection based on the data set to obtain obstacle information. The technical solution may reduce financial costs and enrich information amount of the data, and may simplify the obstacle detecting steps, and avoid the problem about failure to fuse data in different formats, and thereby further improve the vehicle's travel safety.

Abstract: The present disclosure provides a method, system, and apparatus for processing parking and a vehicle controller, and relates to the field of intelligent transportation technology, specifically to the field of automated parking technology. The method is executed by a parking system deployed on a vehicle controller, the parking system including a perception module and other modules except the perception module; the perception module being deployed on a first operating system in the vehicle controller; and the other modules being deployed on a second operating system in the vehicle controller; the method includes: processing an image collected by an image collector through the perception module to obtain perception result data; and controlling a vehicle based on the perception result data obtained from the perception module by the other modules.

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 method and apparatus for positioning a vehicle. The method may include: acquiring an identification element and non-identification elements of a current vehicle. The method can further include matching the identification element of the current vehicle with position elements in a high-precision map to determine an initial position of the current vehicle. The method can further include using at least one position element in the high-precision map to perform observational constraints on the non-identification elements of the current vehicle to acquire position elements corresponding to the non-identification elements of the current vehicle. The method can further include adjusting the initial position of the current vehicle using the position elements corresponding to the non-identification elements of the current vehicle to obtain a target position of the current vehicle.

Abstract: 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.

Abstract: The present disclosure provides a vehicle positioning method implemented by an electronic device, including: obtaining sensor data about N frames of a vehicle through a sliding window, N being a positive integer; creating a target function for a factor graph model in accordance with the sensor data about the N frames, and performing optimization solution on the target function; and determining a pose and a position of the vehicle in accordance with a target value obtained through the optimization solution on the target function.

Abstract: Provided are a method and apparatus for processing a parking space state, and a non-transitory computer-readable storage medium. The method includes: acquiring parking space state association data determined by parking space monitoring devices in a target parking lot, where the parking space monitoring devices comprise an in-parking space monitoring device and an out-parking space monitoring device; determining a parking space state of a target parking space in the target parking lot according to the parking space state association data; and updating, according to the parking space state of the target parking space, parking space state data in a multi-source parking space management platform to which the target parking space belongs.

Abstract: A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

Abstract: The present disclosure provides a vehicle passenger flow statistical method, including: acquiring, by a server, door opening time and door closing time of a vehicle during any one door opening and closing process of door opening and closing processes in a pending statistical period; acquiring, by the server, a first set of images and a second set of images in a carriage of the vehicle according to the door opening time and the door closing time; and acquiring, by the server, the number of on-board people and the number of off-board people during the door opening and closing process according to the first set of images and the second set of images. The present disclosure can improve efficiency and accuracy of passenger flow statistics according to which an operation plan of the vehicle may be optimized timely and effectively.

Abstract: An apparatus for convolution operation is provided.

Abstract: A method, an electronic device and a computer-readable storage medium for testing an autonomous driving system which relate to the technical field of autonomous driving are proposed. An embodiment for testing the autonomous driving system includes: obtaining scenario description information of a testing scenario; analyzing the scenario description information, and determining a scenario risk, a scenario probability and a scenario complexity corresponding to the testing scenario; obtaining a scenario weight of the testing scenario according to the scenario risk, scenario probability and scenario complexity; determining a test period corresponding to the scenario weight, where the test period is used for the autonomous driving system being tested in the testing scenario. The technical solution may reduce the testing pressure of the autonomous driving system and improve the testing efficiency of the autonomous driving system.

Abstract: 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.

Abstract: According to one embodiment, when a predicted trajectory is received, a set of one or more features are extracted from at least some of the trajectory points of the predicted trajectory. The predicted trajectory is predicted using a prediction method or algorithm based on perception data perceiving an object within a driving environment surrounding an autonomous driving vehicle (ADV). The extracted features are fed into a predetermined DNN model to generate a similarity score. The similarity score represents a difference or similarity between the predicted trajectory and a prior actual trajectory that was used to train the DNN model. The similarity score can be utilized to evaluate the prediction method that predicted the predicted trajectory.

Abstract: An obstacle positioning method, device and terminal are provided. The method includes determining installation positions of at least two detectors on a vehicle, and respective detection areas of the detectors, determining an overlapping area of the detection areas of the detectors, and if determining that an obstacle is located in the overlapping area, determining a position of the obstacle according to the installation positions of the detectors forming the overlapping area. By changing the number and positions of detectors installed on an unmanned vehicle, a plurality of overlapping areas of the detection areas of the detectors are obtained, the distribution of obstacles around the vehicle are optimally identified, so that the unmanned vehicle makes reasonable driving plans based on an accurate surrounding obstacle environment.

Abstract: 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.

Abstract: Disclosed are a method and apparatus for processing an image, an electronic device and a storage medium. A specific implementation comprises: acquiring a matching association relationship of a feature point in each to-be-modeled image frame in a to-be-modeled image frame set, a plurality of to-be-modeled image frames in the to-be-modeled image frame set belonging to at least two different to-be-modeled image sequences; determining a first feature point set of the each to-be-modeled image frame based on the matching association relationship, the first feature point set including a first feature point, and the first feature point matching a corresponding feature point in a to-be-modeled image frame in a different to-be-modeled image sequence; and selecting, based on a number of the first feature point in the first feature point set in the each to-be-modeled image frame, a to-be-modeled image frame from the to-be-modeled image frame set for a three-dimensional reconstruction.

Abstract: The application provides a method and an apparatus for testing an autonomous vehicle, and a storage medium, where the method includes: obtaining detection information of the autonomous vehicle, where the detection information is configured to indicate the test result obtained when the detecting apparatus in the autonomous vehicle tests the autonomous vehicle; further, generating a test interface according to the obtained detection information, and displaying the test interface, so that the tester can visually check various test information of the autonomous vehicle during the road running test, thereby not only saving a labor cost, but also improving a test efficiency of the road running test.

Abstract: A method and an apparatus for controlling an autonomous driving vehicle are provided. The method includes: receiving environment information sent by an autonomous driving vehicle, the environment information including vehicle exterior environment information; determining whether the autonomous driving vehicle is in an abnormal operation status, based on the vehicle exterior environment information and operation information of an operation executed by the autonomous driving vehicle; and sending a braking control instruction and a data acquisition instruction to the autonomous driving vehicle, in response to determining that the autonomous driving vehicle is in the abnormal operation status, the braking control instruction being used for controlling braking of the autonomous driving vehicle, and the data acquisition instruction being used for acquiring data of a driving recorder in the autonomous driving vehicle.

Abstract: A velocity trajectory generation method and apparatus, and a storage medium are provided. The method includes: setting starting point time, intermediate point time and terminal point time of a velocity trajectory to be generated, wherein the velocity trajectory includes a first velocity sub-trajectory and a second velocity sub-trajectory; generating multiple first velocity sub-trajectories corresponding to a starting point velocity between the starting point time and the intermediate point time, according to the starting point velocity and multiple intermediate point velocities; and generating, for each of the first velocity sub-trajectories, multiple second velocity sub-trajectories between the intermediate point time and the terminal point time according to multiple terminal point velocities. A velocity trajectory which is more in line with a human driving characteristic may be generated, the comfort level of a passenger may be improved, and an algorithm may be simplified.

Abstract: The present disclosure provides a server, a remote control device, and a remote control method for an automatic (or autonomous) driving vehicle. The method may include: after receiving a remote control request of an automatic driving vehicle, acquiring a target wireless channel of a target wireless network with the shortest communication delay from a plurality of candidate wireless channels of a plurality of candidate wireless networks in combination with the current geographic location of the automatic driving vehicle, and transmitting a corresponding control instruction to the automatic driving vehicle through the target wireless channel of the target wireless network.