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

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 t...

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Bibliographic Details
Published in2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) pp. 1 - 6
Main Authors Ahmad, Ali Haidar, Zahwe, Oussama, Nasser, Abbass, Clement, Benoit
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.07.2023
Subjects
Autonomous aerial vehicles
Classification
Classification algorithms
Global path planning
Mechatronics
Navigation
Obstacle Avoidance
Path planning algorithms
Planning
Supervised learning
Trajectory planning
UAV
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Summary: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.
DOI:10.1109/ICECCME57830.2023.10252168