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Path Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue

Author

Listed:
  • Hailong Huang

    (School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia)

  • Andrey V. Savkin

    (School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia)

Abstract

This paper focuses on the application using a solar-powered unmanned aerial vehicle (UAV) to inspect mountain sites for the purpose of safety and rescue. An inspection path planning problem is formulated, which looks for the path for an UAV to visit a set of sites where people may appear while avoiding collisions with mountains and maintaining positive residual energy. A rapidly exploring random tree (RRT)-based planning method is proposed. This method firstly finds a feasible path that satisfies the residual energy requirement and then shortens the path if there is some abundant residual energy at the end. Computer simulations are conducted to demonstrate the performance of the proposed method.

Suggested Citation

  • Hailong Huang & Andrey V. Savkin, 2021. "Path Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue," Energies, MDPI, vol. 14(7), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1968-:d:529161
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    References listed on IDEAS

    as
    1. Hailong Huang & Andrey V. Savkin & Wei Ni, 2020. "Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones," Energies, MDPI, vol. 13(6), pages 1-12, March.
    2. Hailong Huang & Andrey V. Savkin, 2020. "Energy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments," Energies, MDPI, vol. 13(21), pages 1-17, October.
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    Cited by:

    1. Stanisław Szombara & Marta Róg & Krystian Kozioł & Kamil Maciuk & Bogdan Skorupa & Jacek Kudrys & Tomáš Lepeška & Michal Apollo, 2021. "The Highest Peaks of the Mountains: Comparing the Use of GNSS, LiDAR Point Clouds, DTMs, Databases, Maps, and Historical Sources," Energies, MDPI, vol. 14(18), pages 1-29, September.

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