Research on A Global Path-Planning Algorithm for Unmanned Arial Vehicle Swarm in Three-Dimensional Space Based on Theta–Artificial Potential Field Method

The current challenge in drone swarm technology is three-dimensional path planning and adaptive formation changes. The traditional A* algorithm has limitations, such as low efficiency, difficulty in handling obstacles, and numerous turning points, which make it unsuitable for complex three-dimension...

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Vydané v:	Drones (Basel) Ročník 8; číslo 4; s. 125
Hlavní autori:	Zhao, Wen, Li, Liqiao, Wang, Yingqi, Zhan, Hanwen, Fu, Yiqi, Song, Yunfei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.04.2024
Predmet:	Algorithms APF Barriers Control algorithms Control systems Drone aircraft Drones Formation flying Heuristic obstacle avoidance Optimization Path planning Planning Potential fields Swarm intelligence Theta global path planning UAVs cluster Unmanned aerial vehicles China
ISSN:	2504-446X, 2504-446X
On-line prístup:	Získať plný text
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