@inproceedings{2ff624ab5c6f4bdd9fe1f531eb7f648b,
title = "Toward Dynamic Path Planning of Unmanned Aerial Vehicles (UAVs) in Windy Conditions",
abstract = "Unmanned Aerial Vehicle (UAV) path planning optimizes trajectory for efficient target reach with minimal energy consumption. This study enhances the Target Interception method (TI), to address wind-related challenges. We introduce two adaptations: TI Dynamic Path and TI External Influences. Implementing these methods in a dynamic wind environment yields results demonstrating enhanced reliability and efficiency. This research marks a significant stride in developing more effective UAV path planning algorithms.",
keywords = "Obstacle Avoidance, Optimization, Path planning algorithms, UAV",
author = "Ahmad, {Ali Haidar} and Oussama Zahwe and Abbass Nasser and Benoit Clement",
year = "2025",
month = jan,
day = "20",
doi = "10.1109/ICCMA63715.2024.10843917",
language = "English",
series = "2024 12th International Conference on Control, Mechatronics and Automation, ICCMA 2024",
publisher = "Institute of Electrical and Electronics Engineers",
number = "12",
pages = "95--100",
booktitle = "2024 12th International Conference on Control, Mechatronics and Automation, ICCMA 2024",
address = "United States",
note = "12th International Conference on Control, Mechatronics and Automation, ICCMA 2024 ; Conference date: 11-11-2024 Through 13-11-2024",
}