Genetic algorithm based 3D motion planning for unmanned aerial vehicle
Development of Unmanned Aerial Vehicle (UAV) is now a popular field in research. In most of its applications, a pathfinding algorithm is needed in order to find the optimal path and avoid obstacles. In this paper, a genetic algorithm is implemented in order to determine the optimal path for a UAV th...
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| Main Authors: | , , |
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| Format: | text |
| Published: |
Animo Repository
2019
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2079 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3078/type/native/viewcontent |
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| Institution: | De La Salle University |