@inproceedings{a144006156434478ad98779244c06f61,
title = "An Improved Path Planning Algorithm for Unmanned Aerial Vehicle Based on RRT-Connect",
abstract = "For the problem of path planning in complex static environment, in order to reduce the cost of the UAV flight, this paper puts forward an improved algorithm combined with artificial potential field method and RRT-Connect algorithm. Artificial potential field method is oriented, and the RRT-Connect algorithm has the randomness and efficient planning efficiency. Therefore, the improved algorithm makes the planned path closer to the optimal path than the path of the single algorithm. The simulation results show that the proposed algorithm is shorter than the others, and the effectiveness of the proposed algorithm is verified.",
keywords = "Artificial Potential Field method, Path planning, RRT-Connect, Rapidly-exploring Random Trees",
author = "Denggui Zhang and Yong Xu and Xingting Yao",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8483405",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4854--4858",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "United States",
}