Abstract: A method for generating a road map for vehicle navigation comprises: receiving an original road map having a crossroad junction, an inward lane entering the crossroad junction, and an outward lane leaving the crossroad junction; generating a reference path capable of guiding a vehicle driving from the inward lane to the outward lane through the crossroad junction; generating a polygonal hub that encompasses the crossroad junction, wherein the reference path enters and leaves the hub by crossing a first binder and a second binder, respectively; and generating automatically a type of the reference path based on the geometrical relationship between the first binder and the second binder.

Abstract: Provided are a method and apparatus for locating an obstacle in a semantic map, a computer device, and a storage medium. The method includes: acquiring obstacle coordinates of an obstacle and a travel velocity of the obstacle; selecting an initial region in the semantic map according to a preset selection radius and according to the obstacle coordinates; and performing screening on a plurality of waypoints in the initial region by using a preset screening rule so as to obtain a target waypoint matching a position of the obstacle in the semantic map, and using the target waypoint as the position of the obstacle in the semantic map.

Abstract: An optical system, a method and an apparatus for diagnosing the optical system are provided. The optical system includes a laser sensor, and a tubular sleeve surrounding the laser sensor and configured to move upwards or downwards relative to the laser sensor to cover or expose the laser sensor. The method includes: driving the tubular sleeve to cover the laser sensor to form an enclosed chamber; filling the enclosed chamber with fluid; controlling at least one of the one or more transmitters to emit an optical signal into the fluid; controlling at least one of the one or more receivers to detect a scattered signal of the optical signal; determining whether the at least one of the one or more transmitters or the at least one of the one or more receivers has a fault based on the scattered signal.

Abstract: A mounting base for sensor is provided. The mounting base comprises: a body having a top surface; a mounting portion located on the top surface of the body, the mounting portion is configured for mounting a sensor; and at least one airflow generating component, the airflow generating component is configured for forming at least one airflow on a side of the sensor mounted on the mounting portion.

Abstract: An object identifying method is provided. The method comprises: acquiring detection data associated with a detection signal, wherein the detection data comprises a transmission time of the detection signal transmitted by a LiDAR device; acquiring reflection data associated with a reflection signal of the detection signal reflected by an object at an object distance from the LiDAR device, and the reflection data comprises a receipt time of the reflection signal and an intensity of the reflection signal; and determining whether the object is an interference by comparing the intensity of the reflection signal with a distance-dependent threshold intensity.

Abstract: An image capturing method, comprising: scanning with a light detection and ranging (LIDAR) sensor an environment of the LIDAR sensor, wherein the LIDAR sensor progressively rotates about a rotation axis at a step angle, and when scanning each step angle the LIDAR sensor generates a point cloud of a portion of the environment in a predetermined pattern; scanning with an image sensor assembly mechanically coupled to the LIDAR sensor the environment in synchronization with the scanning by the LIDAR sensor to generate on an imaging plane of the image sensor assembly a sequence of image pixel rows of a portion of the environment corresponding to the point cloud of the portion of the environment; and combining the point cloud with the sequence of image pixel rows for the scanning of each step angle to obtain a fused image of the portion of the environment.

Abstract: This disclosure describes example methods and apparatus for automatic identification of performance degradation in a Light Detection and Ranging (LIDAR) device and for providing appropriate precautions in the forms of operation interventions, warnings/alerts, and initiation of maintenance procedures. The performance degradation is derived from various performance indicators obtained by analyzing echo measurement samples detected by the LIDAR device.

Abstract: Disclosed are a method and apparatus for controlling a vehicle speed for autonomous driving, an electronic device and a computer-readable storage medium. The method includes: obtaining a basic vehicle speed control instruction output by a central controller of a target vehicle in real time; generating an ideal speed parameter matching the basic vehicle speed control instruction according to a preset processing delay; generating an additional vehicle speed control instruction to perform vehicle speed control on the target vehicle according to a difference between the ideal speed parameter and a real-time speed parameter of the target vehicle; and returning to perform the operation of generating the ideal speed parameter matching the basic vehicle speed control instruction according to the preset processing delay until the real-time speed parameter of the target vehicle tends to be consistent with the ideal speed parameter.

Abstract: An apparatus and a method for controlling a velocity of an autonomous driving vehicle is provided. The method includes steps of: obtaining information of an environment surrounding the vehicle when an obstacle is detected to be on a planning path of the vehicle; obtaining an initial reference velocity profile of the vehicle; determining a safety factor based on the initial reference velocity profile, the information of the environment and information of the vehicle, wherein the safety factor at least comprises a safety distance between the vehicle and the obstacle for the vehicle to follow the obstacle; determining an optimized reference velocity profile based on the information of the environment, the information of the vehicle and the safety factor; and performing the step of determining the safety factor by using the optimized reference velocity profile as the initial reference velocity profile and the step of determining the optimized reference velocity iteratively.

Abstract: This disclosure describes example methods and apparatus for automatic identification of performance degradation in a Light Detection and Ranging (LIDAR) device and for providing appropriate precautions in the forms of operation interventions, warnings/alerts, and initiation of maintenance procedures. The performance degradation is derived from various performance indicators obtained by analyzing echo measurement samples detected by the LIDAR device.

Abstract: Provided are a method and apparatus for locating an obstacle in a semantic map, a computer device, and a storage medium. The method includes: acquiring obstacle coordinates of an obstacle and a travel velocity of the obstacle; selecting an initial region in the semantic map according to a preset selection radius and according to the obstacle coordinates; and performing screening on a plurality of waypoints in the initial region by using a preset screening rule so as to obtain a target waypoint matching a position of the obstacle in the semantic map, and using the target waypoint as the position of the obstacle in the semantic map.

Abstract: A method for generating a road map for vehicle navigation comprises: providing original road image data having an image of a road; identifying boundary lines defining respective lane segments of the road from the original road image data; associating traffic properties with the lane segments defined by the boundary lines, respectively; grouping the lane segments to generate road segments; and combining the road segments with traffic control objects corresponding thereto so as to generate the road map for vehicle navigation.

Abstract: A controller area network (CAN) communication system is provided. The CAN communication system comprises: a CAN bus; at least one electronic control unit (ECU) coupled to the CAN bus; a host module coupled to the CAN bus for controlling the operation of the at least one ECU. The host module comprises: a controller; and at least two adapters coupled between the CAN bus and the controller for communication therebetween. The controller is configured to monitor a communication between a first adapter of the at least two adapters and the CAN bus by a second adapter of the at least two adapters when the controller is communicating with the CAN bus through the first adapter, and to switch its communication with the CAN bus from through the first adapter to through the second adapter when a failure of the communication between the first adapter and the CAN bus is determined.

Abstract: Disclosed are a method and apparatus for controlling a vehicle speed for autonomous driving, an electronic device and a computer-readable storage medium. The method includes: obtaining a basic vehicle speed control instruction output by a central controller of a target vehicle in real time; generating an ideal speed parameter matching the basic vehicle speed control instruction according to a preset processing delay; generating an additional vehicle speed control instruction to perform vehicle speed control on the target vehicle according to a difference between the ideal speed parameter and a real-time speed parameter of the target vehicle; and returning to perform the operation of generating the ideal speed parameter matching the basic vehicle speed control instruction according to the preset processing delay until the real-time speed parameter of the target vehicle tends to be consistent with the ideal speed parameter.