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...

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Bibliographic Details

Published in:	Knowledge-based systems Vol. 304; p. 112569
Main Authors:	Chun, Jie, Chen, Ming, Liu, Xiaolu, Xiang, Shang, Du, Yonghao, Wu, Guohua, Xing, Lining
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 25.11.2024
Subjects:	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 Access:	Get full text
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