A Multi-Objective Coverage Path Planning Algorithm for UAVs to Cover Spatially Distributed Regions in Urban Environments

A Multi-Objective Coverage Path Planning Algorithm for UAVs to Cover Spatially Distributed Regions in Urban Environments

This paper presents a multi-objective coverage flight path planning algorithm that finds minimum length, collision-free, and flyable paths for unmanned aerial vehicles (UAV) in three-dimensional (3D) urban environments inhabiting multiple obstacles for covering spatially distributed regions. In many...

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Detalles Bibliográficos
Autores principales: Abdul Majeed, Seong Oun Hwang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
coverage path planning
unmanned aerial vehicle
sparse waypoint graphs
urban environments
obstacles
area of interest
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Acceso en línea:https://doaj.org/article/f45d0e8df92b4527bb32ff1c782a2187
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https://doaj.org/article/f45d0e8df92b4527bb32ff1c782a2187

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