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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Drones (Basel) Jg. 8; H. 4; S. 125
Hauptverfasser:	Zhao, Wen, Li, Liqiao, Wang, Yingqi, Zhan, Hanwen, Fu, Yiqi, Song, Yunfei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2024
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!