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Towards a system for analyzing accidents of unmanned aerial vehicles

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Abstract

Our goal was to analyze accidents of unmanned aerial vehicles (UAVs) by replicating their circumstances, using data obtained from the sensors and flight recorder installed on the UAVs. In this paper, we investigated the performance of three tools for 3-D mapping to reproduce the surrounding environment along the path of the UAV, and found that LIDAR data can construct more accurate and broader maps than methods that use monocular or stereo camera images. We then applied an optical flow method to images taken by a rotating monocular camera and found that imaging at more than 120 fps is appropriate for accurate motion tracking of a spinning and falling UAV. Finally, we developed a visualization system that displays replications of UAV flights and its surrounding environment on a computer screen.

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Acknowledgements

This study was supported by funding from the New Energy and Industrial Technology Development Organization (NEDO). We appreciate the research support from Dr. Ichiryu, Mr. Arai, and Dr. Wasantha from Kikuchi Seisakusho Co., Ltd.

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Authors and Affiliations

  1. The University of Aizu, Tsuruga, Ikki-machi, Aizu-Wakamatsu-city, Fukushima, 965-8580, Japan

    Ryuhei Yamada, Yuichi Yaguchi, Masashi Yoshida & Shigeki Kobayashi

Authors
  1. Ryuhei Yamada
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  2. Yuichi Yaguchi
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  3. Masashi Yoshida
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  4. Shigeki Kobayashi
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Corresponding author

Correspondence to Ryuhei Yamada.

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Yamada, R., Yaguchi, Y., Yoshida, M. et al. Towards a system for analyzing accidents of unmanned aerial vehicles. Artif Life Robotics 24, 94–99 (2019). https://doi.org/10.1007/s10015-018-0460-z

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  • DOI: https://doi.org/10.1007/s10015-018-0460-z

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