Abstract: The present disclosure provides a method and a server for platooning. The method provides: obtaining, based on a platooning request message, a first vehicle type and first kinematic information of a vehicle to join a platoon, a second vehicle type and second kinematic information of a current tail of the platoon, first sensor operating status information of the vehicle to join the platoon, and second sensor operating status information of the current tail vehicle; performing vehicle kinematic determination to obtain a kinematic determination result; performing sensor determination to obtain a sensor determination result; transmitting a confirmation request message to a vehicle of the platoon when the determination results are both successful; and controlling, upon receiving a request approval message, the vehicle to join the platoon to establish a V2V communication connection with each vehicle in the platoon. The method can achieve platoon without any road side unit.

Abstract: Disclosed is a submarine network device, comprising a fiber set, a pump laser set, an erbium doped fiber amplifier (EDFA) set, a primary fiber coupler (CPL) set and a secondary CPL set, wherein the primary CPL set comprises N primary CPLs, the secondary CPL set comprises N secondary CPLs, with N being an integer greater than or equal to 3. The fiber set is configured to connect the pump laser set, the primary CPL set, the secondary CPL set and the EDFA set. An input port of each primary CPL in the primary CPL set is at least connected with a pump laser. An output port of each secondary CPL in the secondary CPL set is at least connected with an EDFA. Output ports of each primary CPL in the primary CPL set are respectively connected with two different secondary CPLs that are spaced by a secondary CPL, and input ports of each secondary CPL in the secondary CPL set are respectively connected with two different primary CPLs that are spaced by a primary CPL.

Abstract: The present disclosure provides a method, a device, and a system for parking a truck. The method includes a main controller acquiring real-time point cloud data by scanning a lane crossed by a shore crane using a laser radar; the main controller clustering the real-time point cloud data to obtain a set of point clouds for the truck moving in the lane; and the main controller obtaining a real-time distance from the moving truck to a target parking space based on the set of point clouds and a vehicle point cloud model; the main controller broadcasting a message containing the real-time distance, such that a vehicle controller controls the moving truck to stop at the target parking space based on the real-time distance contained in the message.

Abstract: A method, a device, and a system for parking a truck accurately in a shore crane area are provided. A vehicle controller transmits a parking request for a truck to be parked. A main controller receives the parking request and acquires real-time point cloud data by scanning one or more lanes crossed by a shore crane using one or more LiDARs. The main controller clusters the real-time point cloud data to obtain a set of point clouds for the truck and applies an Iterative Closest Point algorithm to the set of point clouds and a vehicle point cloud model to obtain a real-time distance from the truck to a target parking space. The vehicle controller controls the truck to stop at the target parking space based on the real-time distance.

Abstract: The present disclosure provides a method, an apparatus and a vehicle for trailer angle measurement, applied in a semi-trailer including a tractor and a trailer. At least one LiDAR is provided on each of two sides of a rear part of the tractor. A reflector with a reflective surface is fixedly provided at a front part of the trailer, and the reflective surface faces the LiDARs. The method includes: controlling the LiDARs to emit laser light, such that the reflective surface of the reflector reflects the laser light; controlling each of the LiDARs to receive a corresponding laser point cloud reflected by the reflector; and calculating a trailer angle based on the corresponding laser point clouds. The method and apparatus can increase the range of trailer angle measurement, such that the trailer angle can be measured even if the trailer angle is relatively large.

Abstract: The present disclosure provides a method and a server for platooning. The method provides: obtaining, based on a platooning request message, a first vehicle type and first kinematic information of a vehicle to join a platoon, a second vehicle type and second kinematic information of a current tail of the platoon, first sensor operating status information of the vehicle to join the platoon, and second sensor operating status information of the current tail vehicle; performing vehicle kinematic determination to obtain a kinematic determination result; performing sensor determination to obtain a sensor determination result; transmitting a confirmation request message to a vehicle of the platoon when the determination results are both successful; and controlling, upon receiving a request approval message, the vehicle to join the platoon to establish a V2V communication connection with each vehicle in the platoon. The method can achieve platoon without any road side unit.

Abstract: The present disclosure provides a method and an apparatus for trailer angle measurement, as well as a vehicle, applied in a vehicle including a tractor and a trailer. At least one LiDAR is provided on each of two sides of the tractor. The method includes: obtaining, an initial trailer model containing initial point cloud data; controlling the to emit laser light; controlling each of the LiDARs to receive a corresponding point cloud reflected by the surface of the trailer; and calculating a trailer angle based on the point cloud data and the initial point cloud data using a point cloud matching algorithm. With the embodiments of the present disclosure, fast and accurate measurement of a trailer angle can be achieved with a simple structure.

Abstract: The present disclosure relates to Internet of Vehicles technology, and provides a method, an apparatus, and system for redundant communication for platooning. The method includes: transmitting application data to be transmitted to at least two V2V devices; and controlling the at least two V2V devices that have received the application data to transmit the application data to a predetermined air interface, such that a receiving apparatus obtains the application data from the air interface. With the redundant configuration of the V2V devices, the problem caused by communication failure of one single V2V device can be avoided, so as to ensure stability of V2V communication and guarantee safe operation for platooning.

Abstract: The present disclosure provides a method, a device, and a system for parking a truck. The method includes a main controller acquiring real-time point cloud data by scanning a lane crossed by a shore crane using a laser radar; the main controller clustering the real-time point cloud data to obtain a set of point clouds for the truck moving in the lane; and the main controller obtaining a real-time distance from the moving truck to a target parking space based on the set of point clouds and a vehicle point cloud model; the main controller broadcasting a message containing the real-time distance, such that a vehicle controller controls the moving truck to stop at the target parking space based on the real-time distance contained in the message.

Abstract: A system for generating a ground truth dataset for motion planning is disclosed. The system includes: a collecting module configured to collect LiDAR scans; a detecting module configured to detect two pose estimates that are closest to LiDAR scan accusation time; a determining module configured to determine LiDAR's poses based on an interpolation; and a transforming module configured to transform LiDAR raw scans into undistorted LiDAR scans.

Abstract: The present disclosure provides an autonomous driving control system and method, a computer server, and an autonomous vehicle, for controlling autonomous driving of an autonomous vehicle. The system includes: a receiving unit configured to receive decision information; a light control unit configured to generate light control information based on the decision information; a lateral control unit configured to generate lateral control information based on the decision information; a longitudinal control unit configured to generate longitudinal control information based on the decision information; a modifying unit configured to modify one or more parameters in the lateral control information and the longitudinal control information; and a transmitting unit configured to transmit the light control information and the modified lateral control information and longitudinal control information to a vehicle controller.

Abstract: A system for generating a ground truth dataset for motion planning is disclosed. The system includes: a collecting module configured to collect LiDAR scans; a detecting module configured to detect two pose estimates that are closest to LiDAR scan accusation time; a determining module configured to determine LiDAR's poses based on an interpolation; and a transforming module configured to transform LiDAR raw scans into undistorted LiDAR scans.