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

Yusaku Hatano, Hiroshi Nagahashi, Chen Yi, Jun Ohya

    Research output: Contribution to journalConference article

    Abstract

    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.

    Original languageEnglish
    Article numberS25
    JournalIS and T International Symposium on Electronic Imaging Science and Technology
    VolumePart F138654
    DOIs
    Publication statusPublished - 2018 Jan 1
    Event16th Computational Imaging Conference, COMIG 2018 - Burlingame, United States
    Duration: 2018 Jan 282018 Feb 1

    Fingerprint

    voting
    crashes
    Optical flows
    Unmanned aerial vehicles (UAV)
    estimating
    Cameras
    cameras
    divergence
    bags
    cells
    accumulators
    Experiments
    air

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Science Applications
    • Human-Computer Interaction
    • Software
    • Electrical and Electronic Engineering
    • Atomic and Molecular Physics, and Optics

    Cite this

    Estimating the UAVs' crash point based on optical flows' voting in the image plane. / Hatano, Yusaku; Nagahashi, Hiroshi; Yi, Chen; Ohya, Jun.

    In: IS and T International Symposium on Electronic Imaging Science and Technology, Vol. Part F138654, S25, 01.01.2018.

    Research output: Contribution to journalConference article

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