Learning to construct a solution for UAV path planning problem with positioning error correction

Unmanned aerial vehicles (UAVs) are advanced flight systems. However, their positioning systems cause distance-dependent errors during flight. This study seeks to solve the UAV path planning problem with positioning error correction (UPEC) with an end-to-end method. Traditional methods struggle to b...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Knowledge-based systems Jg. 304; S. 112569
Hauptverfasser:	Chun, Jie, Chen, Ming, Liu, Xiaolu, Xiang, Shang, Du, Yonghao, Wu, Guohua, Xing, Lining
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 25.11.2024
Schlagworte:	Deep reinforcement learning Path planning Positioning error correction Reinforcement learning algorithm UAV Deep reinforcement learning Path planning UAV Positioning error correction Reinforcement learning algorithm
ISSN:	0950-7051
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!