OBSTACLE AVOIDANCE METHOD AND APPARATUS FOR UNMANNED AERIAL VEHICLE LANDING, AND UNMANNED AERIAL VEHILCE

    公开(公告)号:US20220055748A1

    公开(公告)日:2022-02-24

    申请号:US17352721

    申请日:2021-06-21

    Inventor: Xin Zheng

    Abstract: Embodiments of the present invention relate to the field of unmanned aerial vehicle (UAV) control technologies, and in particular, to an obstacle avoidance method and apparatus for UAV landing and a UAV. The obstacle avoidance method for UAV landing includes: obtaining a point cloud distribution map of a to-be-landed zone; determining a safe zone in the to-be-landed zone according to the point cloud distribution map; determining a target position in the safe zone; and controlling the UAV to move to the target position, to enable the UAV to be away from an obstacle in the to-be-landed zone. According to the foregoing manner, the embodiments of the present invention may avoid an obstacle in the to-be-landed zone and reduce a risk of crashing of the UAV.

    Obstacle detection method and apparatus and unmanned aerial vehicle

    公开(公告)号:US12015757B2

    公开(公告)日:2024-06-18

    申请号:US17310718

    申请日:2020-02-26

    Inventor: Xin Zheng

    Abstract: Embodiments of the present invention relate to an obstacle detection method and apparatus and an unmanned aerial vehicle. The unmanned aerial vehicle includes a binocular photographing component and a laser texture component. The method includes: determining to start the laser texture component; starting the laser texture component, to emit a laser texture; obtaining a binocular view that is collected by the binocular photographing component and that includes the laser texture, and setting the binocular view that includes the laser texture as a target binocular view; and performing obstacle detection based on the target binocular view. In the above technical solutions, according to the embodiments of the present invention, precision of binocular stereo matching can be improved without changing an original binocular matching algorithm and structure, thereby improving precision of obstacle detection. In addition, the unmanned aerial vehicle can perform binocular sensing while flying at night.

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