@inproceedings{f8f7a19a64384d9f9b32c49529c671e4,
title = "Rapid Obstacle Avoidance Planning of Patrol Under Multi-obstacle Constraint",
abstract = "Unmanned Rover plays an important role in detection on the planet surface. As the carrier of scientific investigation, safe and reliable path planning is particularly important for the rover itself. Therefore, it is required that the rover can go to the mission target point through global planning, and it is also required that the rover can avoid local obstacles. In this paper, Dijkstra algorithm and dynamic window approach are combined to make the rover have the global planning ability to get the optimal solution and the local obstacle avoidance ability based on real-time perception. Three groups of physical experiments are carried out to verify the effectiveness of the obstacle avoidance algorithm in multi-obstacle environment.",
keywords = "Lunar rover, Multi-obstacle constraint, Obstacle avoidance, Path planning",
author = "Ping Wang and Xudong Xie and Hongxing Zheng and Xiaoqiang Yu",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Autonomous Unmanned Systems, ICAUS 2021 ; Conference date: 24-09-2021 Through 26-09-2021",
year = "2022",
doi = "10.1007/978-981-16-9492-9\_332",
language = "英语",
isbn = "9789811694912",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3380--3387",
editor = "Meiping Wu and Yifeng Niu and Mancang Gu and Jin Cheng",
booktitle = "Proceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021",
address = "德国",
}