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Communication Dans Un Congrès Année : 2023

Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation

Résumé

Path planning and obstacle avoidance form the basis of the UAV operations. The objective of an Unmanned Aerial Vehicle (UAV) is to navigate an optimal path towards its destination while ensuring the avoidance of the obstacles along the way. Several algorithms have been proposed by many researchers to achieve this objective. In this paper, we focused on Global pathplanning algorithms for UAVs with obstacle avoidance. We compare various algorithms by highlighting their characteristics, advantages, and limitations. In addition, this paper implements four of the most well-known methods that tackle environmental challenges. Our results offer practical insights and guidance for researchers seeking to develop more effective path planning algorithms for UAVs.
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Dates et versions

hal-04195953 , version 1 (05-09-2023)

Identifiants

Citer

Ali Haidar Ahmad, Oussama Zahwe, Abbass Nasser, Benoit Clement. Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Jul 2023, Tenerife (Canaries), Spain. pp.1-6, ⟨10.1109/ICECCME57830.2023.10252168⟩. ⟨hal-04195953⟩
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