Abstract: An apparatus for controlling a vehicle, comprising: an upper level controller connected to a vehicle CAN (Controller Area Network) bus communication network by using a CAN bus communication mode, configured: to control a first control element connected to a vehicle CAN bus via the CAN bus communication network; and to control a second control element connected to a non-vehicle CAN bus via a hardwired connection.

Abstract: The application discloses a method and system of implementing a vehicle automatically passing through a barrier, a vehicle controller and a road barrier controller, so as to implement the automatic passing through of the road barrier of the unmanned vehicle. The method includes: controlling, by a vehicle controller, the vehicle to drive automatically and stop at a place of the road barrier; interacting, by the vehicle controller, with a road barrier controller corresponding to the place of the road barrier to accomplish the automatic passing through of the road barrier.

Abstract: Technique for performing camera calibration on a vehicle is disclosed. A method of performing camera calibration includes emitting, by a laser emitter located on a vehicle and pointed towards a road, a first laser pulse group towards a first location on a road and a second laser pulse group towards a second location on the road, where each laser pulse group includes one or more laser spots. For each laser pulse group: a first set of distances are calculated from a location of a laser receiver to the one or more laser spots, and a second set of distances are determined from an image obtained from a camera, where the second set of distances are from a location of the camera to the one or more laser spots. The method also includes determining two camera calibration parameters of the camera by solving two equations.

Abstract: The present disclosure provides a system, a method and an apparatus for object identification, capable of solving the problem in the related art that a system for centralized control and management of unmanned vehicles may not be able to identify an object effectively. The system for object identification includes a sensing device, a control device and one or more unmanned vehicles.

Abstract: A system and method for three-dimensional (3D) object detection is disclosed. A particular embodiment can be configured to: receive image data from at least one camera associated with an autonomous vehicle, the image data representing at least one image frame; use a trained deep learning module to determine pixel coordinates of a two-dimensional (2D) bounding box around an object detected in the image frame; use the trained deep learning module to determine vertices of a three-dimensional (3D) bounding box around the object; use a fitting module to obtain geological information related to a particular environment associated with the image frame and to obtain camera calibration information associated with the at least one camera; and use the fitting module to determine 3D attributes of the object using the 3D bounding box, the geological information, and the camera calibration information.

Abstract: A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.

Abstract: Various embodiments for implementing a system and method for managing and querying semi-structured, heterogeneously-typed sensor data in a distributed environment are disclosed. Example embodiments include: enabling data communications between a plurality of compute nodes and a plurality of physical data storage devices via an application programming interface (API) layer, a cache management layer, a server layer, and a storage layer; and receiving a data request from at least one of the plurality of compute nodes at the API layer, the data request including an identification of a topic of a dataset, the topic including a metadata file, a data file, and an index file, the index file including at least one pointer into the data file.

Abstract: The present application discloses a method, device and system for automatic oiling of a long-distance transport vehicle. The method provided by the present application includes: obtaining, by a transport planning system at a network side, vehicle status information, transport mission information and highway port information of the vehicle before the long-distance transport vehicle starts from a highway port of departure; generating a transport plan according to the vehicle status information, the transport mission information and the highway port information, wherein the transport plan comprises at least one highway port to be stopped at, cargo quantity to be loaded at each highway port to be stopped at and oil mass to be filled at each highway port to be stopped at; and sending the transport plan to the vehicle.

Abstract: A method of constructing a map including a plurality of lanes and a system thereof are provided. The method includes: for each of the plurality of lanes, constructing corresponding lane geometry data based on a plurality of polyline segments; and generating a lane content for the respective lane based on the lane geometry data.

Abstract: Techniques are described for compensating for movements of sensors on a vehicle. A method includes receiving two sets of sensor data from two sets of sensors, where a first set of sensors are located on a roof of a cab of the semi-trailer truck and a second set of sensor data are located on a hood of the semi-trailer truck. The method also receives from a height sensor a measured value indicative of a height of the rear of a rear portion of the cab of the semi-trailer truck relative to a chassis of the semi-trailer truck, determines two correction values, one for each of the two sets of sensor data, and compensates for the movement of the two sets of sensors by generating two sets of compensated sensor data. The two sets of compensated sensor data are generated by adjusting the two sets of sensor data based on the two correction values.

Abstract: A system and method for fisheye image processing is disclosed.

Abstract: The present application describes a computer server. The computer server includes a plurality of layers of fixed plates each having at least one corresponding component provided thereon. An air inlet and an air outlet are provided on side panels of an outer shell of the server case. A first set of fans is provided on an inward-facing side of the air inlet, and a second set of fans is provided on an inward-facing side of the air outlet. The first set of fans and the second set of fans generate a high-pressure airflow from the air inlet to the air outlet. The computer server further comprises at least one first heat sink and a second heat sink, wherein the at least one first heat sink is connected to a heat generating component on the plurality of layers of fixed plates.

Abstract: A system and method for vehicle occlusion detection is disclosed.

Abstract: A prediction-based system and method for trajectory planning of autonomous vehicles are disclosed.

Abstract: A prediction-based system and method for trajectory planning of autonomous vehicles are disclosed.

Abstract: The present application discloses a method and device of labeling laser point cloud. The method comprises: receiving data of a laser point cloud; constructing a 3D scene and establishing a 3D coordinate system corresponding to the 3D scene; converting a coordinate of each laser point in the laser point cloud into a 3D coordinate in the 3D coordinate system; mapping laser points included in the laser point cloud into the 3D scene respectively according to the 3D coordinate of the laser points; labeling the laser points in the 3D scene.

Abstract: A system and method for providing multiple agents for decision making, trajectory planning, and control for autonomous vehicles are disclosed. A particular embodiment includes: partitioning a multiple agent autonomous vehicle control module for an autonomous vehicle into a plurality of subsystem agents, the plurality of subsystem agents including a deep computing vehicle control subsystem and a fast response vehicle control subsystem; receiving a task request from a vehicle subsystem; dispatching the task request to the deep computing vehicle control subsystem or the fast response vehicle control subsystem based on content of the task request or a context of the autonomous vehicle; causing execution of the deep computing vehicle control subsystem or the fast response vehicle control subsystem by use of a data processor to produce a vehicle control output; and providing the vehicle control output to a vehicle control subsystem of the autonomous vehicle.