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conference paper · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · 2023

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

Ali Haidar Ahmad, Oussama Zahwe, Abbass Nasser, Benoît Clément

Cited by 6Open access

Abstract

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 path-planning 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.

Cite this paper

APA 7

Ahmad, A. H., Zahwe, O., Nasser, A., & Clément, B. (2023). Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1–6. https://doi.org/10.1109/iceccme57830.2023.10252168

MLA 9

Ahmad, Ali Haidar, et al. “Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation.” International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023, pp. 1–6, https://doi.org/10.1109/iceccme57830.2023.10252168.

Chicago

Ahmad, Ali Haidar, Oussama Zahwe, Abbass Nasser, and Benoît Clément. 2023. “Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation.” International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME): 1–6. https://doi.org/10.1109/iceccme57830.2023.10252168.

Harvard

Ahmad, A.H. et al. (2023) ‘Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation’, International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1–6. Available at: https://doi.org/10.1109/iceccme57830.2023.10252168.

BibTeX
@article{ahmad2023path,
  title = {{Path Planning Algorithms For Unmanned Aerial Vehicle: Classification, Performance, and Implementation}},
  author = {Ahmad, Ali Haidar and Zahwe, Oussama and Nasser, Abbass and Clément, Benoît},
  journal = {International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)},
  pages = {1--6},
  year = {2023},
  doi = {10.1109/iceccme57830.2023.10252168}
}

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