UAS WORK PRACTICE
    42.
    发明公开
    UAS WORK PRACTICE 审中-公开

    公开(公告)号:US20230274651A1

    公开(公告)日:2023-08-31

    申请号:US18016346

    申请日:2021-07-16

    申请人: SeekOps Inc.

    IPC分类号: G08G5/00 G06V20/17

    摘要: Systems, devices, and methods including a processor having addressable memory, the processor configured to: determine coordinates of one or more equipment groups; determine coordinates of one or more flight lines about the determined coordinates of the one or more equipment groups; generate one or more waypoints along the determined coordinates of the one or more flight lines; and generate a flight path along the generated one or more waypoints.

    Drone apparatus and method for deploying drone working zone

    公开(公告)号:US11721224B2

    公开(公告)日:2023-08-08

    申请号:US17121761

    申请日:2020-12-15

    摘要: A drone apparatus and a method for deploying a drone working zone are provided. The drone apparatus includes an aircraft body, a communication device, a positioning device and a flight controller. The flight controller is configured to: set edge rules of a working zone unit used to construct a working zone for the drone apparatus to work around a bridge; control the aircraft body to fly along a target section selected in the bridge according to a control signal received by the communication device, and calculate positions of multiple points of interest (POIs) passed by during the flight using the positioning device; generate one working zone unit with positions of adjacent two of the POIs according to the edge rules of the working zone unit; and combine multiple working zone units generated by using positions of all the POIs to construct and deploy the working zone of the target section.

    REINFORCEMENT LEARNING-BASED MID-AIR COLLISION AVOIDANCE

    公开(公告)号:US20230245575A1

    公开(公告)日:2023-08-03

    申请号:US17649883

    申请日:2022-02-03

    IPC分类号: G08G5/04 G08G5/00

    CPC分类号: G08G5/045 G08G5/003 G08G5/006

    摘要: A method is provided for avoiding a conflict during a flight of an aircraft that includes a defined route of travel. The method includes receiving observations of states of the aircraft and a nearby obstacle in an environment of the aircraft as the aircraft travels the defined route. The method includes applying the states to a reinforcement learning framework to predict states of the aircraft to avoid a conflict between the aircraft and the nearby obstacle. The reinforcement learning framework determines maneuvers of the aircraft to avoid the conflict, using a policy trained using a surrogate model of the environment in which movements of the aircraft and the nearby obstacle are simulated, and determines the predicted states of the aircraft from the maneuvers. A collision avoidance trajectory is generated from the predicted states of the aircraft, and output for guidance, navigation or control of the aircraft.

    Method and device for flight path planning considering both the flight trajectory and the visual images from air traffic control systems for air traffic controllers

    公开(公告)号:US11710412B1

    公开(公告)日:2023-07-25

    申请号:US18154776

    申请日:2023-01-13

    发明人: Yi Lin Jianwei Zhang

    IPC分类号: G08G5/00 G06N3/092 G06N3/0464

    摘要: The invention discloses a method to support the trajectory planning considering both the flight trajectory and the visual images (VI) from air traffic control (ATC) system for air traffic controllers (ATCOs) (VI from ATC system for ATCOs), comprising the following steps: Step 1: acquire the VI and the flight trajectory to serve as the method inputs, and extract features of the VI and the relative position of the aircraft; Step 2: construct reinforcement learning-based methods to support the decision-making for flight path planning and conduct the training procedures of the models in the proposed method; Step 3: based on the optimized reinforcement learning-based methods, predict the required operation sequence to guide the flight to the target waypoint. The method of the invention can support the flight path planning for air traffic operation in a safe and efficient manner and is able to reduce the workload of air traffic controllers.

    Video display system and method
    47.
    发明授权

    公开(公告)号:US11703354B2

    公开(公告)日:2023-07-18

    申请号:US17511592

    申请日:2021-10-27

    发明人: Avraham Zeev Noy

    摘要: A system for displaying videos, comprising a processing resource configured to: provide a data repository comprising a plurality of previously captured video segments (PCVSs) captured during previous operations of corresponding platforms, each being associated with metadata indicative of a Line-of-Sight (LoS) of a sensor, carried by the corresponding platform of the platforms used to capture the corresponding PCVS, with respect to a fixed coordinate system established in space, during capturing the corresponding PCVS; obtain an indication of a Region-of-Interest (RoI); identify one or more of the PCVSs that include at least part of the RoI, utilizing the LoSs associated with the PCVSs, giving rise to RoI matching PCVSs; and display at least part of at least one of the RoI matching PCVSs, being displayed RoI matching PCVSs, on a display of an operating platform to an operator of the operating platform during a current operation of the operating platform.

    Mission plan paths for multi-domain assets

    公开(公告)号:US11675348B2

    公开(公告)日:2023-06-13

    申请号:US16668850

    申请日:2019-10-30

    申请人: Raytheon Company

    摘要: A computer architecture includes an application program interface (API). The API does not include a user interface. The computer architecture asynchronously receives into the API data relating to mission plan domains from clients. The data include an identification of vehicles, goals of the vehicles, and threats to the vehicles. The mission plan domains include an air domain, a sea or ocean domain, and a land domain. The computer architecture uses a parallel processing scheme to process the mission plan domains from the clients for determining goal priorities for each of the plurality of vehicles, processing the data using a genetic algorithm and physics models associated with the plurality of vehicles, and transmitting to the vehicles path commands based on the processing of the genetic algorithm.