LSTM-DQN-APF Path Planning Algorithm Empowered by Twins in Complex Scenarios

In response to the issues of unreachable targets, local minima, and insufficient real-time performance in drone path planning in urban low-altitude complex scenarios, this paper proposes a fusion algorithm based on digital twin, integrating LSTM (long short-term memory), DQN (Deep Q-Network), and AP...

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Bibliografiske detaljer

Principais autores:	Ying Lu, Xiaodan Wang, Yang Yang, Man Ding, Shaochun Qu, Yanfang Fu
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-04-01
Serier:	Applied Sciences
Fag:	digital twins UAV path planning LSTM-DQN-APF
Online adgang:	https://www.mdpi.com/2076-3417/15/8/4565
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