@inproceedings{e4c075ef7db6411990bc63f896f747bf,
title = "UAV Path Planning Based on the Combination of A-star Algorithm and RRT-star Algorithm",
abstract = "In order for UAVs to perform tasks safely and efficiently, path planning for UAVs is required. The A-star algorithm can calculate the optimal path, but it needs to rasterize the map in advance and run for a long time. When the map changes, the A-star algorithm cannot quickly obtain a new path. This work proposes a UAV path planning system using the combination of the A-star algorithm and the RRT-star algorithm, which provides the optimal path for the UAV and can generate a temporary path in time when the pre-planned path cannot be used. This scheme can improve the adaptability of UAV in UAM scene.",
keywords = "A-star algorithm, RRT-star algorithm, UAV, path planning",
author = "Qiang Zhou and Guangcai Liu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Unmanned Systems, ICUS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/ICUS55513.2022.9986703",
language = "英语",
series = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--151",
editor = "Rong Song",
booktitle = "Proceedings of 2022 IEEE International Conference on Unmanned Systems, ICUS 2022",
address = "美国",
}