@inproceedings{6bd1a2b17e6f436baa5b8db9361c68c6,
title = "The Algorithm for UAV Obstacle Avoidance and Route Planning Based on Reinforcement Learning",
abstract = "An algorithm for UAV collision avoidance based on the reinforcement learning is used for small fixed-wing unmanned aerial vehicles (UAVs). The proposed algorithm realized the obstacle avoidance of UAV in unknown environment and the result is close to the global optimal path. The simulation results show that the collision avoidance algorithm can adapt to various complex environments. Meanwhile, the UAV can quickly get close to the target while avoiding obstacles.",
keywords = "Collision avoidance, Complex environment, Reinforcement learning, UAV",
author = "Jiantong Liu and Zhengjie Wang and Zhide Zhang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 11th International Conference on Modelling, Identification and Control, ICMIC 2019 ; Conference date: 13-07-2019 Through 15-07-2019",
year = "2020",
doi = "10.1007/978-981-15-0474-7_70",
language = "English",
isbn = "9789811504730",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "747--754",
editor = "Rui Wang and Zengqiang Chen and Weicun Zhang and Quanmin Zhu",
booktitle = "Proceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019",
address = "Germany",
}