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...
Guardado en:
Autores principales: | Abdul Majeed, Seong Oun Hwang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f45d0e8df92b4527bb32ff1c782a2187 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace
por: ChaoYu Xia, et al.
Publicado: (2021) -
Architecture of Distributed Control System for Gearbox-Free More Electric Turbofan Engine
por: Viktor Popov, et al.
Publicado: (2021) -
Research on the Collaborative Operational Mode and Key Technologies of Manned/Unmanned Aerial Vehicles
por: Sun Shengzhi, Meng Chunning, Hou Yan, Cai Xiaobin
Publicado: (2021) -
Unmanned air vehicle path planning for maritime surveillance using Cluster-base method
por: Prasetyo Ardi Probo Suseno, et al.
Publicado: (2021) -
Research on the Fatigue of Small Impulse Turbine Blade Based on the Numerical Simulation and Experimental Tests
por: Shijie Liu, et al.
Publicado: (2021)