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...
Gorde:
| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2024-11-01
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| Saila: | World Electric Vehicle Journal |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2032-6653/15/11/531 |
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