Multi-objective Multiple Quadcopter Path Planning in Urban City
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摘要Applications using multiple quadcopters such as environment detection or packet delivery have drawn lots of interest from commercial companies. As the battery life of a quadcopter is very limited, a path planning algorithm can help to improve the efficiency of each flight. To avoid overloading some quadcopters while under-utilizing the others, the algorithm will minimize the total path lengths and balance individual path length. This problem is formulated as multi-objective multiple traveling salesman problem (MOMTSP). To generate flight paths quickly for commercial application, City Quadcopter Path Planner (CQPP) which is based on Non Sorting Genetic Algorithm II (NSGA-II) is proposed and applied to search for the solutions. Positive results are obtained from three benchmark scenarios, which are designed for testing the performance of the algorithm in solving this path planning problem.
著者Kin-Ming Lo, Leung-Yau Lo, Pak-Kan Wong, Kwong-Sak Leung
會議名稱The 3rd International Conference on Control, Robotics and Cybernetics
會議開始日18.12.2018
會議完結日20.12.2018
會議地點Penang
會議國家/地區馬來西亞
出版年份2018
語言美式英語
關鍵詞Path planning, Quadcopter, Genetic Algorithm, Multi-objective multiple traveling salesman problem

上次更新時間 2019-06-05 於 15:11