Genetic algorithm based 3D motion planning for unmanned aerial vehicle

• المؤلفون الرئيسيون: Rivera, Maverick C., Del Rosario, Jay Robert B., Bandala, Argel A.
• التنسيق: text
• منشور في: Animo Repository 2019
• الموضوعات: Drone aircraft in remote sensing; Drone aircraft; Genetic algorithms; Electrical and Computer Engineering; Electrical and Electronics
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/faculty_research/2079; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3078/type/native/viewcontent
• المؤسسة: De La Salle University

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...