Estimating the UAVs' crash point based on optical flows' voting in the image plane

Yusaku Hatano*, Hiroshi Nagahashi, Chen Yi, Jun Ohya


    研究成果: Conference article査読


    Towards the actualization of an air bag system for the UAV's crash, this paper proposes a method for estimating the UAV's crash site from the video sequence acquired by the camera attached to the UAV. The crash point can be considered to correspond to the divergence point of the optical flows. In the accumulator, the cells at which the optical flows (straight lines) pass through are incremented by one. After performing this process for all the optical flows, the cell with the largest vote is obtained as the crash point (divergence point) in the image plane. Experiments using a hand held camera show that the accuracy of estimating the crash site is increased as the camera approaches the target plane. Overall, the experimental results are promising.

    ジャーナルIS and T International Symposium on Electronic Imaging Science and Technology
    Part F138654
    出版ステータスPublished - 2018 1月 1
    イベント16th Computational Imaging Conference, COMIG 2018 - Burlingame, United States
    継続期間: 2018 1月 282018 2月 1

    ASJC Scopus subject areas

    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • コンピュータ サイエンスの応用
    • 人間とコンピュータの相互作用
    • ソフトウェア
    • 電子工学および電気工学
    • 原子分子物理学および光学


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