Abstract: A method, apparatus and device for storing vehicular data. An embodiment of a method for storing vehicular data includes: analyzing importance of received vehicular data to determine a storage level of the vehicular data; acquiring a corresponding key and a corresponding encryption algorithm based on the storage level of the vehicular data; encrypting the vehicular data using the acquired key and the acquired encryption algorithm; and storing encrypted vehicular data in a storage area corresponding to the storage level of the vehicular data. The embodiment may improve the safety of vehicular data by encrypted storage of the data in different levels, effectively prevent important vehicular data from being illegally read or maliciously falsified, and improve the storage efficiency of the vehicular data.

Abstract: Embodiments of the present disclosure provide a method for detecting and avoiding a collision applied to a vehicle which determines a first path according to a real-time vehicle status. The method can include: S1) predefining a second path according to the real-time vehicle status; S2) determining whether the current first path is at risk of a collision, and determining whether the current second path is at risk of a collision; and S3) controlling the vehicle with an apparatus using a method for avoiding a collision, in a case where the current first path is at risk of a collision and/or the current second path is at risk of a collision.

Abstract: A method, a device and an apparatus for generating a defensive driving strategy and a storage medium are provided. The method includes: detecting a type of each obstacle of a plurality of obstacles in a sensible range of an autonomous vehicle; determining whether there is a collision risk of the autonomous vehicle with the obstacle by using a collision risk detection method corresponding to the type; and determining the defensive driving strategy for the autonomous vehicle when the obstacle has a collision risk with the autonomous vehicle in the sensible range. According to the embodiments, an occurrence probability of a dangerous condition on a road may be reduced.

Abstract: 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.

Abstract: A method and an apparatus for extracting a lane line, a device, a computer readable-storage medium and a collection entity are provided. The method includes: obtaining a first group of lane lines of a road based on a first image generated from a point cloud collected by a laser radar; obtaining a second group of lane lines of the road based on a second image collected by a camera; and determining a lane line set of the road based on the first group of lane lines and the second group of lane lines.

Abstract: Provided are system and method for controlling traffic lights. The system includes a traffic light device and a smart roadside device. The smart roadside device includes a roadside sensing module including: a camera assembly configured to collect information of an image for traffic lights of the traffic light device and a radar configured to acquire first surrounding environment information of a road junction monitored by the smart roadside device, and a roadside processing module configured to determine traffic flow information of a red light lane according to the first surrounding environment information and the information of the image for the traffic lights, determine a duration of a green light according to the traffic flow information, and control a duration displaying the green light in a next cycle of the traffic light device according to the duration of the green light.

Abstract: The present disclosure provides a control method and apparatus for an autonomous vehicle, a computer device and a storage medium. The current steering wheel angle, vehicle speed and yaw rate are obtained, the current steering wheel angle is corrected based on the first correction deviation coefficient and the second correction deviation coefficient of the previous cycle, the corrected steering wheel angle and the current vehicle speed are input into the preset vehicle dynamic model to obtain the estimated yaw rate, the first yaw rate deviation value between the current yaw rate and the estimated yaw rate is obtained, and processed by the preset closed-loop algorithm to obtain the first correction deviation coefficient and the second correction deviation coefficient of the current cycle, and the target steering wheel angle is corrected, and the vehicle is driven based on the corrected target steering wheel angle.

Abstract: Embodiments of the present disclosure provide a method and a device for assisting in controlling automatic driving of a vehicle, a medium, and a system. The method for assisting in controlling automatic driving of a vehicle may include: acquiring sensing information related to environment collected by a sensor, the sensor being disposed in the environment and independent of the vehicle; determining an environment sensing result related to the environment by processing the acquired sensing information, the environment sensing result indicating relevant information about a plurality of objects including the vehicle in the environment; and providing the environment sensing result to a vehicle-side control device associated with the vehicle for assisting in controlling a driving behavior of the vehicle.

Abstract: Embodiments of the present disclosure provide a method and a device for acquiring a map, a device, and a computer readable storage medium. The method includes: acquiring a reference map of an acquisition area; dividing the acquisition area into a plurality of sub-areas based on the reference map; generating a plurality of acquisition tasks corresponding to the plurality of sub-areas, wherein each of the plurality of acquisition tasks is configured to acquire a map of each of the plurality of sub-areas; and assigning each of the plurality of acquisition tasks to an acquisition entity, to enable the acquisition entity to acquire the map of each of the plurality of sub-areas.

Abstract: A method for determining a motion vector field is provided, comprising: determining an optical flow of a spatial point in a scene according to different frames of images acquired by an image acquisition unit; determining a movement velocity of the spatial point in a coordinate system of the image acquisition unit according to spatial point data; determining a first order derivative of a projection of the spatial point on an image plane according to the spatial point data; and determining a velocity vector of the spatial point according to intrinsic parameters, a rotation matrix in a global coordinate system, a movement velocity, and an angular velocity, of the image acquisition unit, as well as a pose, the optical flow, the movement velocity in the coordinate system of the image acquisition unit, and the first order derivative of the projection on the image plane, of the spatial point.

Abstract: Embodiments of the present disclosure provide a method and device for detecting a speed of an obstacle, a computer device, and a storage medium. The method includes: calculating at least two real-time speeds corresponding to the obstacle by using a multi-frame difference algorithm according to multi-frame data acquired by a sensor in a preset time window; calculating at least two speed statistic values corresponding to the obstacle according to the at least two real-time speeds; mapping each of the at least two speed statistic values to a corresponding static probability according to a mapping relationship between speed statistic values and static probabilities, to obtain at least two static probabilities; and fusing the at least two static probabilities to obtain a fused static probability of the obstacle, and determining the speed of the obstacle according to the fused static probability.

Abstract: The present disclosure provides a method and a device for controlling a vehicle, a device and a storage medium, and relates to the field of unmanned vehicle technologies. The method includes: acquiring a vehicle environment image by an image acquirer during traveling of the vehicle; extracting a static environment image included in the vehicle environment image; obtaining a planned vehicle traveling trajectory by taking the static environment image as an input of a trajectory planning model; and controlling the vehicle to travel according to the planned vehicle traveling trajectory.

Abstract: The present disclosure provides a server, a remote control device and a remote control method for an automatic driving vehicle. The method includes: after receiving a remote control request of an automatic driving vehicle, determining a control instruction according to the remote control request, and transmitting the control instruction by using wireless channels corresponding to a plurality of wireless networks.

Abstract: Provided is a smart roadside unit, including: a high-bright camera assembly configured to capture a high-bright image; a low-bright camera assembly configured to capture a low-bright image, in which the high-bright camera assembly and the low-bright camera assembly have a substantially same shooting view; and a controller configured to extract vehicle information from the high-bright image and the low-bright image.