DETECT AND AVOID INTEGRATION WITH CONTROLLER PILOT DATA LINK COMMUNICATIONS (CPDLC)

    公开(公告)号:US20200258405A1

    公开(公告)日:2020-08-13

    申请号:US16270657

    申请日:2019-02-08

    Abstract: A system and techniques for automatically generating messages to advise air traffic control (ATC) when an aircraft should maneuver based on information from the aircraft guidance system. The techniques of this disclosure integrate guidance processing algorithms, such as those found in detect and avoid (DAA) systems, with data link communications, such as those in controller pilot data link communications (CPDLC), to communicate deviations from an approved flight plan to ATC. As one example, if an aircraft collision avoidance system determines that an aircraft should deviate from the aircraft's current flight path to avoid a hazard, the techniques of this disclosure include automatically generating a message, then sending the message to ATC. In some examples, the pilot may approve the message before allowing the system to send the message to ATC. The pilot may be on board a manned aircraft or a remote pilot of an unmanned aircraft system (UAS).

    Systems and methods for predicting ground effects along a flight plan

    公开(公告)号:US11181934B1

    公开(公告)日:2021-11-23

    申请号:US16920070

    申请日:2020-07-02

    Abstract: The present disclosure provides systems and methods for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (VTOL) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the VTOL aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; based on the terrain and obstacles data, the ground effect data and the flight plan, predict where, along the flight plan, the VTOL aircraft will traverse a ground effect region, thereby providing prediction data; and generating one or more commands to control a system of the VTOL aircraft based on the prediction data.

    SYSTEMS AND METHODS FOR PREDICTING GROUND EFFECTS ALONG A FLIGHT PLAN

    公开(公告)号:US20210365050A1

    公开(公告)日:2021-11-25

    申请号:US16920070

    申请日:2020-07-02

    Abstract: The present disclosure provides systems and methods for predicting ground effects along a flight plan. The systems and methods provide a processor executed process including the steps: receiving a flight plan for a vertical take-off and landing (VTOL) aircraft; receiving terrain and obstacles geospatial data for the flight plan from the database; determining weight of the VTOL aircraft along the flight plan; determining temperature of the environment along the flight plan; determining ground effect data along the flight plan based on the temperature and the weight; based on the terrain and obstacles data, the ground effect data and the flight plan, predict where, along the flight plan, the VTOL aircraft will traverse a ground effect region, thereby providing prediction data; and generating one or more commands to control a system of the VTOL aircraft based on the prediction data.

    System and method for autonomously monitoring highly automated vehicle operations

    公开(公告)号:US11366468B2

    公开(公告)日:2022-06-21

    申请号:US16522149

    申请日:2019-07-25

    Abstract: Systems and methods are disclosed for monitoring operations of an autonomous vehicle. For instance, a monitoring device receives sub-system data from one or more sub-systems of the autonomous vehicle. The device receives contextual data of the vehicle that comprises one or more situational circumstances of the vehicle during operation. The device receives control data from a control system of the vehicle and analyzes the sub-system data, the contextual data, and the control data to determine a control result. The device provides an assessment to a management system of the overall control status of the vehicle.

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