Abstract: A method for generating a zebra crossing includes: obtaining an original vertex sequence for generating a zebra crossing from an image, and determining a first vertex sequence by merging a plurality of vertices in the original vertex sequence; obtaining a plurality of lines by connecting a plurality of vertices in the first vertex sequence in order, and determining a first target edge and a second target edge approximate to the first target edge from the plurality of lines; obtaining a first vertex set corresponding to the first target edge and a second vertex set corresponding to the second target edge, and generating an area to be cut based on the first vertex set and the second vertex set; and cutting the area to be cut to obtain cutting elements, and generating the zebra crossing by filling alternately a part of cutting elements.

Abstract: 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.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for detecting an obstacle, an electronic device, a vehicle and a storage medium. The method includes: obtaining a depth map around a vehicle; performing a terrain fitting based on the depth map to determine a terrain equation; determining a set of candidate obstacle points based on the terrain equation and the depth map; clustering candidate obstacle points in the set of candidate obstacle points to obtain at least one independent obstacle; and identifying and filtering a falsely detected obstacle from the at least one independent obstacle to obtain a depth-map-based obstacle detection result.

Abstract: A method and apparatus for jointly calibrating external parameters of multiple cameras. The method includes: determining an overlapped area of angles of view of cameras, and obtaining a 2D verification point set in an image of the overlapped area, the 2D verification point set including at least one verification point; performing external parameter calibration for each camera separately to obtain a current external parameter of the camera; calculating coordinates of a 3D point corresponding to each verification point in a world coordinate system using the current external parameter of each camera separately, and calculating a loss function based on the coordinates of the 3D point, the loss function being used to measure an overlay error of calibration of the cameras under the current external parameter; and performing joint calibration based on the loss function to obtain a target external parameter of each camera.

Abstract: A method, an apparatus and a control system for controlling a mobile robot are provided. The method includes: receiving a motion mode change request sent by a target mobile robot, the motion mode change request including motion mode information, and the motion mode information being information of a motion mode to be obtained by change requested by the target mobile robot; determining whether the target mobile robot has a permission to move in the motion mode; and sending motion confirmation information for the motion mode change request to the target mobile robot to control the target mobile robot to move in the motion mode, in response to determining that the target mobile robot has the permission.

Abstract: Provided are a method and device for monitoring an operating status of a vehicle. The method includes: acquiring a current position of the vehicle, operation behavior information of a user and operating status information of an in-vehicle component in a running process of the vehicle, determining a first running status of the vehicle according to the operation behavior information of the user and the operating status information of the in-vehicle component; acquiring, according to the current position of the vehicle, traffic information and environmental information corresponding to the current position of the vehicle at current time from a network side; determining a second running status of the vehicle according to the traffic information and the environmental information; and determining a current operating status of the vehicle according to a matching degree between the first running status and the second running status.

Abstract: The present disclosure discloses a method, an apparatus, an electronic device and a medium for acquiring map data, and relates to the field of intelligent transportation. A specific implementation solution is: determining a target areas of interest in a map, wherein the map is divided into at least two areas of interest; sending a data acquisition instruction to data acquisition terminals to acquire the map data in the target areas of interest; and receiving the map data fed back from the data acquisition terminal and updating the target areas of interest in the map according to the map data.

Abstract: 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.

Abstract: 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.

Abstract: Embodiments of the present disclosure disclose an object detection method, an object detection apparatus, a related device, a storage medium and a vehicle. The method includes the following. Scene point cloud data is inputted into a point cloud feature extraction model pretrained to obtain a point cloud descriptive feature of the scene. Scene image data is input into an image feature extraction model pretrained to obtain an image descriptive feature of the scene. The point cloud descriptive feature and the image descriptive feature of each target region in the scene are input into an object identifying model to obtain a detection result of an object included in each target region.

Abstract: An apparatus for convolution operation is provided.

Abstract: The present disclosure provides a data transmission method and a data transmission device for an intelligent driving vehicle, and a device. The method includes: acquiring data to be transmitted; encoding the data to be transmitted to generate encoded data; generating a check digit according to the data to be transmitted; adding the encoded data to a data packet, wherein a trailer of the data packet comprises the check digit; and transmitting the data packet.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device, and a medium for determining an angle of yaw, relating to a field of automatic driving. The method includes: obtaining, during a vehicle being driving straightly on a straight road, data of each obstacle in an environment located by the vehicle, the data of each obstacle being detected by a millimeter wave radar sensor located in the vehicle, at least one metal obstacle being provided on the straight road; recognizing the metal obstacle based on the data of each obstacle, and obtaining a metal obstacle line by fitting positions of the metal obstacle at different time points; and determining an angle between the metal obstacle line and a direction of a vehicle body as an angle of yaw between the millimeter wave radar sensor and the vehicle body.

Abstract: The disclosure provides a method, an apparatus, a device and a storage medium for positioning an object. The method includes: obtaining a map related to a region where the object is located, the map including a plurality of map layers having different height information; determining, based on the map and current point cloud data related to the object, an estimated position of the object, an estimated height corresponding to the estimated position and an estimated probability that the object is located at the estimated position with an estimated posture; and determining, at least based on the estimated position, the estimated height and the estimated probability, positioning information for the object, the positioning information indicating at least one of a current position of the object, a current height of the object and a current posture of the object.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for determining a relative pose, a device, and a medium. The method comprises: obtaining millimeter-wave data for obstacles in a scene collected by a millimeter-wave radar sensor in a vehicle and first data for the obstacles in the scene collected by a first sensor in the vehicle, wherein, at least one millimeter-wave radar signal booster is disposed in the scene as a target obstacle and the obstacles comprise the target obstacle; determining first obstacle data for the target obstacle in a millimeter-wave radar coordinate system and second obstacle data for the target obstacle in a first sensor coordinate system according to the millimeter-wave data and the first data for the obstacles in the scene; and determining the relative pose between the millimeter-wave radar sensor and the first sensor according to the first obstacle data and the second obstacle data.

Abstract: 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.

Abstract: Provided are a communication system and a communication method of an autonomous vehicle. The system includes: a plurality of application modules, and an in-vehicle terminal. The in-vehicle terminal includes: an external communication module configured to communicate with another autonomous vehicle or a server in a message mode, and an internal communication module configured to communicate with the plurality of application modules in a service mode.

Abstract: In one embodiment, in response to perception data perceiving a driving environment surrounding an ADV, a map image of a map covering a location associated with the driving environment is obtained. An image recognition is performed on the map image to recognize one or more objects from the map image. An object may represent a particular road, a building structure (e.g., a parking lot, an intersection, or a roundabout). One or more features are extracted from the recognized objects, where the features may indicate or describe the traffic condition of the driving environment. Behaviors of one or more traffic participants perceived from the perception data are predicted based on the extracted features. A trajectory for controlling the ADV to navigate through the driving environment is planned based on the predicted behaviors of the traffic participants. A traffic participant can be a vehicle, a cyclist, or a pedestrian.

Abstract: The present application provides a message transmission method and apparatus, a device and a medium. The method includes: determining and outputting, by an issuing task, a data message, storing the data message in a preset storage space, and sending an issuing notification message; and reading, by a subscription task, the data message from the preset storage space according to the issuing notification message. With embodiments of the present disclosure, transmission efficiency of the data message between the issuing task and the subscription task may be improved, and source occupancy may be reduced.

Abstract: Provided are a switching method of an automatic driving mode, an apparatus, and a readable storage medium. The method includes determining an identity of a user riding an automatic driving device; determining, according to the identity of the user, a target automatic driving mode matched with the identity of the user from multiple pre-stored automatic driving modes; and controlling, according to the target automatic driving mode, the automatic driving device to perform a current automatic driving task. The method can adopt different automatic driving modes to perform a current automatic driving task according to differences of identities of users and provide the users with experiences riding an automatic driving device that are more suited to their requirements.