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Path Planning for Unmanned Aerial Vehicles in Dynamic Env... | ResearchHub
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Path Planning for Unmanned Aerial Vehicles in Dynamic Environments: A Novel Approach Using Improved A* and Grey Wolf Optimizer
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Authors
Ali Ahmad
3 more
Ali Ahmad
•
Oussama Zahwe
1 more
•
Benoı̂t Clément
Published
November 18, 2024
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Journal
World Electric Vehicle Journal
Topics
Computer Science
Artificial Intelligence
Engineering
Computer Vision And Pattern Recognition
Aerospace Engineering
Show all topics
DOI
10.3390/wevj15110531
License
CC-BY
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
World Electric Vehicle Journal
Topics
Computer Science
Artificial Intelligence
Engineering
Computer Vision And Pattern Recognition
Aerospace Engineering
Show all topics
DOI
10.3390/wevj15110531
License
CC-BY
