Path Planning for Unmanned Aerial Vehicles in Dynamic Environments: A Novel Approach Using Improved A* and Grey Wolf Optimizer

Unmanned aerial vehicles (UAVs) play pivotal roles in various applications, from surveillance to delivery services. Efficient path planning for UAVs in dynamic environments with obstacles and moving landing stations is essential to ensure safe and reliable operations. In this study, we propose a nov...

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Κύριοι συγγραφείς:	Ali Haidar Ahmad, Oussama Zahwe, Abbass Nasser, Benoit Clement
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-11-01
Σειρά:	World Electric Vehicle Journal
Θέματα:	unmanned aerial vehicle A* algorithm grey wolf optimizer path planning weighted graph
Διαθέσιμο Online:	https://www.mdpi.com/2032-6653/15/11/531
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