Abstract: The present disclosure provides an intelligent port control system and related systems and apparatuses, capable of achieving fully automated ship loading and unloading.

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: The present disclosure provides a system, a method and an apparatus for position-based parking of a vehicle, capable of solving the problem in the related art that an unmanned vehicle cannot be parked at a specified position accurately in an environment with a weak GPS signal. The method includes, during position-based parking of a vehicle at a predetermined position: receiving, by a communication device of the vehicle, posture data from a roadside device located within a predetermined range from the predetermined position; deciding, by a vehicle-mounted processing device of the vehicle, whether received posture data satisfies a predetermined positioning rule; determining posture adjustment data for the vehicle when the received posture data does not satisfy the predetermined positioning rule; and controlling the vehicle to perform a posture adjustment operation based on the posture adjustment data.

Abstract: Embodiments of the present disclosure provide a navigation method, device and system for a cross intersection. The method includes: receiving a message transmitted from a vehicle controller, where the message indicates a request of a vehicle for passing an intersection; and determining whether to allow the vehicle to pass the intersection based on an occupancy condition of the intersection and transmitting an action instruction to the vehicle controller to cause the vehicle controller to control movement of the vehicle.

Abstract: Embodiments of the present disclosure provide a central control method. The method includes: obtaining identifications, locations and states of objects in a port; generating and displaying a port electronic map based on the identifications, locations, and states of the objects; and displaying, upon detecting that an object in the port electronic map is being operated, the identification, location, and/or state of the operated object. With the present disclosure, the monitored content can be extended to information, such as identifications, locations and states, related to the respective objects. Compared with the existing port monitoring system, the monitoring is more thorough and comprehensive, which is advantageous for improving port operation security and service execution efficiency. Further, embodiments of the present disclosure provide a central control system.

Abstract: The present disclosure provides a ship unloading control system, a ship loading control system and related systems and apparatuses, capable of achieving fully automated ship loading and unloading.

Abstract: The present disclosure provides a system, method and associated apparatus for autonomous vehicle transportation. The system includes: an operation system configured to generate a transportation plan for a vehicle and transmit the transportation plan to a vehicle controller of the vehicle; and the vehicle controller configured to control, in accordance with the transportation plan, the vehicle to autonomously move to a position of a checkpoint at an entrance to a target highway port, and interact with a checkpoint controller corresponding to the position of the checkpoint for autonomously passing the checkpoint; and control the vehicle to autonomously move from the position of the checkpoint to a specified loading/unloading position in the target highway port, and interact with a loading/unloading control apparatus for autonomous loading/unloading at the loading/unloading position.

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: The present disclosure provides a warehousing control system and a computer device. The warehousing control system includes: a communication module configured to transmit and receive information; and a warehousing server configured to: plan, upon receiving a container warehousing task via the communication module, a target warehousing area and a target warehousing space corresponding to each container in the container warehousing task, and assign a warehouse hoisting apparatus to hoist a target container carried by a transportation vehicle to a corresponding target warehousing space; and/or assign, upon receiving a container distribution task via the communication module, a warehouse hoisting apparatus to load a target container in the container distribution task onto an assigned transportation vehicle. In this way, intelligent unmanned warehousing can be achieved, such that the operation efficiency of warehousing can be improved and the cost of warehousing management can be reduced.

Abstract: The present disclosure provides a method and an apparatus for binocular ranging, capable of achieving an improved accuracy of binocular ranging.

Abstract: The present disclosure provides a method for image capturing, a method for image capturing control and associated apparatuses. The method for image capturing includes: obtaining Region Of Interest (ROI) information of a target ROI corresponding to a current frame of image; buffering captured pixel data of the current frame of image; obtaining, when determining that the pixel data of the current frame of image has been buffered completely, pixel data associated with the target ROI from the buffered pixel data of the current frame of image based on the ROI information if the ROI information of the target ROI corresponding to the current frame of image can be obtained; and outputting the pixel data associated with the target ROI.

Abstract: The present document describes an autonomous driving assistance system, a roadside assistance system and a vehicle-mounted assistance system. The autonomous driving assistance system may include at least one roadside sensor, a roadside device, a roadside Vehicle to Everything (V2X) communication device and a vehicle-mounted V2X communication device. The at least one roadside sensor may be configured to collect environment information of a surrounding environment and transmit the environment information to the roadside device. The roadside device may be configured to process the received environment information to obtain perception information and transmit the perception information to the roadside V2X communication device. The roadside V2X communication device may be configured to transmit the received perception information to the vehicle-mounted V2X communication device.

Abstract: The present disclosure provides a method and an apparatus for semantic segmentation of an image, capable of solving the problem in the related art associated with low speed and inefficiency in semantic segmentation of images. The method includes: receiving the image; performing semantic segmentation on the image to obtain an initial semantic segmentation result; and inputting image information containing the initial semantic segmentation result to a pre-trained convolutional neural network for semantic segmentation post-processing, so as to obtain a final semantic segmentation result. With the solutions of the present disclosure, the initial semantic segmentation result can be post-processed using the convolutional neural network, such that the speed and efficiency of the semantic segmentation of the image can be improved.

Abstract: The present application discloses a method, system and related device of implementing vehicle automatic inspection and repair. The method includes: obtaining, by a vehicle controller, vehicle self-inspection data, and controlling a vehicle to drive and stop at an inspection and repair position when determining the vehicle malfunctions according to the vehicle self-inspection data; sending, by the vehicle controller, vehicle diagnostic information to an inspection and repair apparatus; and determining, by the inspection and repair apparatus, a corresponding repair advice according to the vehicle diagnostic information, and sending the repair advice to the vehicle controller.

Abstract: The present application discloses a method, system and related device of implementing vehicle automatic payment. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a payment position; obtaining, by a payment terminal, vehicle identification information of the vehicle, and determining payment amount corresponding to the vehicle identification information; sending, by the payment terminal, leaving indication information to the vehicle controller after determining that the vehicle controller pays the payment amount; and controlling, by the vehicle controller, the vehicle to start and leave the payment position when receiving the leaving indication information.

Abstract: The present document describes a vehicle-side image capturing system and method that is capable of improving qualities of images captured at vehicle-side. The system includes: a controller, a plurality of cameras, a light sensor and an encoder each connected to the controller. The controller is configured to: receive an illumination intensity of a current environment from the light sensor, select one of the plurality of cameras that is adapted to the illumination intensity as a target camera, activate when the target camera is different from a currently operating camera, deactivate the currently operating camera then configure the target camera as an operating camera for image capturing, and receive images captured by the operating camera and transmit the received images to the encoder. The encoder is configured to encode the received images and transmit the encoded images.