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

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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Bibliographic Details
Main Authors: Ali Haidar Ahmad, Oussama Zahwe, Abbass Nasser, Benoit Clement
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:World Electric Vehicle Journal
Subjects:
unmanned aerial vehicle
A* algorithm
grey wolf optimizer
path planning
weighted graph
Online Access:https://www.mdpi.com/2032-6653/15/11/531
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