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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Bibliographic Details
Main Authors: Abdul Majeed, Seong Oun Hwang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Aerospace
Subjects:
coverage path planning
unmanned aerial vehicle
sparse waypoint graphs
urban environments
obstacles
area of interest
Online Access:https://www.mdpi.com/2226-4310/8/11/343

Internet

https://www.mdpi.com/2226-4310/8/11/343

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