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公开(公告)号:US20200255143A1
公开(公告)日:2020-08-13
申请号:US16863158
申请日:2020-04-30
Applicant: SZ DJI TECHNOLOGY CO., LTD.
Inventor: Jiabin LIANG , Kaiyong ZHAO , Yuewen MA , Dongdong MA
Abstract: A three-dimensional (3D) reconstruction system based on aerial photography includes an unmanned aerial vehicle (UAV), a ground station, and a cloud server. The ground station is configured to determine an aerial photography parameter for indicating an aerial photography state of the UAV based on a user operation and transmit the aerial photography parameter to the UAV. The UAV is configured to receive the aerial photography parameter transmitted by the ground station; fly based on the aerial photography parameter and control an imaging device carried by the UAV to acquire aerial images during a flight; and transmit the aerial images to the cloud server. The cloud server is configured to receive the aerial images and generate a 3D model of a target area based on the aerial images.
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公开(公告)号:US20210245880A1
公开(公告)日:2021-08-12
申请号:US17244448
申请日:2021-04-29
Applicant: SZ DJI TECHNOLOGY CO., LTD.
Inventor: Guang YAN , Xianghua JIA , Dongdong MA , Xinchao LI , Jinsong LI
Abstract: A control method includes obtaining three-dimensional (3D) spatial information of a target crop area planted with a plurality of target crops; determining spraying control information based on the 3D spatial information; and controlling a spraying unmanned aerial vehicle (UAV) to perform spraying on the plurality of target crops based on the spraying control information. The spraying control information includes a spraying mode for controlling the spraying UAV to perform spraying on one target crop of the plurality of target crops, and the spraying mode includes a flight mode.
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公开(公告)号:US20200334499A1
公开(公告)日:2020-10-22
申请号:US16906604
申请日:2020-06-19
Applicant: SZ DJI TECHNOLOGY CO., LTD.
Inventor: Dongdong MA , Yuewen MA , Kaiyong ZHAO
Abstract: A vision-based positioning method includes extracting first features from a first image and second features from a second image, determining initial matching pairs according to the first features and the second features, extracting satisfying matching pairs that meet a requirement from the initial matching pairs according to an affine transformation model, and determining a position-attitude change according to the satisfying matching pairs. The first image and the second image are obtained by a vision sensor carried by an aerial vehicle. The position-attitude change indicates a change from a position-attitude of the vehicle when the vision sensor captures the first image to a position-attitude of the vehicle when the vision sensor captures the second image.
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