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

Hailong Huang; Andrey V. Savkin

doi:10.3390/en14071968

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

Hailong Huang, Andrey V. Savkin

Research output: Journal article publication › Journal article › Academic research › peer-review

11 Citations (Scopus)

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.

Original language	English
Article number	1968
Journal	Energies
Volume	14
Issue number	7
DOIs	https://doi.org/10.3390/en14071968
Publication status	Published - 1 Apr 2021
Externally published	Yes

Keywords

Path planning
Rapidly exploring random tree (RRT)
Safety and rescue missions
Solar-powered UAVs
Surveillance and monitoring
Unmanned aerial vehicles (UAVs)

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Fuel Technology
Energy Engineering and Power Technology
Energy (miscellaneous)
Control and Optimization
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.3390/en14071968

Cite this

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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