7results about "Simultaneous traffic control systems" patented technology

The present disclosure provides a kind of air-ground heterogeneous unmanned cluster traffic control and formation obstacle avoidance control method and system based on reinforcement learning, comprising: obtaining the stage privacy protection mechanism of air-ground heterogeneous unmanned cluster according to the unmanned vehicle dynamics model and unmanned vehicle dynamics model;Using the composite guide vector field that fusion is attracted force field and repulsive force field, determine the integrated error of the air-ground heterogeneous unmanned cluster formation;Construct non-fragile performance constraint function, and obtain error conversion function according to the integrated error;And according to the error conversion function, determine the distributed reinforcement learning virtual controller and actual controller;According to the distributed reinforcement learning virtual controller and actual controller, realize the air-ground heterogeneous unmanned cluster prescribed time consistency formation control.The present disclosure can prevent malicious nodes from deriving the initial position and speed trajectory of other nodes through state interaction.

A processing system including at least one processor executing a traffic management application may detect a proximity to a traffic zone for vehicular traffic, the dual-mode vehicle having two modes of operation, the two modes of operation comprising a surface mode of operation and an aerial mode of operation, and may verify a rule set for vehicular operations within the traffic zone. The processing system may then identify a leader traffic management application from among a plurality of traffic management applications of a plurality of dual-mode vehicles within or near the traffic zone, obtain at least one navigation instruction from the leader traffic management application, and perform at least one of: executing a navigation action in accordance with the at least one navigation instruction, or displaying at least a portion of a permitted route that is in conformance with the at least one navigation instruction.

A method for aligning a vehicle to an ADAS calibration target may include providing a support bearing a camera arrangement and the calibration target, positioning the vehicle and the support so that the calibration target and the camera arrangement are in front of the vehicle, and moving the vehicle until a front license plate of the vehicle is detected by the camera arrangement. The method may also include acquiring one or more images and in response to detecting the front license plate in the images, identifying the corresponding alphanumeric code. The method may further include querying a first database to retrieve a model of the vehicle associated with said alphanumeric code, querying a second database to retrieve a predetermined position that is associated with the model of the vehicle, and providing commands to a driver for driving the vehicle so as the vehicle reaches said predetermined position.

A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and / or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and / or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training / proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.

The application discloses a kind of based on time window unmanned plane railway crossing safety control method, comprising: establishing the time set that each railway crossing site can be passed by unmanned plane;Calculate the minimum safety distance of unmanned plane and overhead contact system of crossing site, and then obtain the minimum flight height of crossing site;Calculate the maximum flight frequency of unmanned plane allowed to pass through crossing site at time t;Build the integrated parameter set of crossing site in the time period that unmanned plane can pass through to support unmanned plane passing;Check the declaration information, and after verification, extract the maximum flight frequency, start and end time of time window from integrated parameter set, whether to approve by calculating flight margin is judged.The method of the present application constructs a comprehensive control parameter system by combining train operation time sequence, contact net electromagnetic characteristics and personnel on duty capacity, realizes accurate verification and scientific approval of unmanned plane crossing application, and guarantees the double safety of railway transportation and unmanned plane flight.

According to a first aspect of the invention, a system for automatically moving a plurality of automated motor vehicles is provided, comprising at least one mobile sensor unit for detecting the multiple automated motor vehicles to be moved and their immediate environmental data. The one or more mobile sensor units can, in particular, be configured as drone(s). The system also includes a control unit for generating and transmitting control commands for the automated motor vehicles to be moved. The control unit is configured to generate the control commands based on the data detected by the mobile sensor unit(s) in such a way that the plurality of motor vehicles are moved in a coordinated and synchronous manner, i.e., as a convoy, by means of the control commands.

Provided is a mobile body including: an optical wireless communication unit that performs optical wireless communication with another mobile body; an object detection unit that detects an object in the vicinity of the mobile body; an object information transmission unit that transmits first object information including position information of the object to the other mobile body via optical wireless communication or radio wave communication; an object information reception unit that receives second object information including position information of an object in the vicinity of the other mobile body from the other mobile body via optical wireless communication or radio wave communication; and a movement control unit that controls movement of the mobile body based on the first object information and the second object information so that the object is not located on an optical axis of the optical wireless communication.