An Improved APFM for Autonomous Navigation and Obstacle Avoidance of USVs

Xiaohui Zhu, Yong Yue, Hao Ding, Shunda Wu, MingSheng Li, Yawei Hu

Abstract

Unmanned surface vehicles (USVs) are getting more and more attention in recent years. Autonomous navigation and obstacle avoidance is one of the most important functions for USVs. In this paper, we proposed an improved angle potential field method (APFM) for USVs. A reversed obstacle avoidance algorithm was proposed to control the steering of USVs in tight spaces. In addition, a multi-position navigation route planning was also achieved. Simulation results in MATLAB show that the improved APFM can guide the USV to autonomously navigate and avoid obstacles around the USV during navigation. We applied the algorithm to a real USV, which is designed for water quality monitoring and tested in a real river system. Experimental results show that the improved APFM can successfully guide the USV to navigate based on the predefined navigation route while detecting both static and dynamic obstacles and avoiding collisions.

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Paper Citation


in Harvard Style

Zhu X., Yue Y., Ding H., Wu S., Li M. and Hu Y. (2019). An Improved APFM for Autonomous Navigation and Obstacle Avoidance of USVs.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-380-3, pages 401-408. DOI: 10.5220/0007922904010408


in Bibtex Style

@conference{icinco19,
author={Xiaohui Zhu and Yong Yue and Hao Ding and Shunda Wu and MingSheng Li and Yawei Hu},
title={An Improved APFM for Autonomous Navigation and Obstacle Avoidance of USVs},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2019},
pages={401-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007922904010408},
isbn={978-989-758-380-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - An Improved APFM for Autonomous Navigation and Obstacle Avoidance of USVs
SN - 978-989-758-380-3
AU - Zhu X.
AU - Yue Y.
AU - Ding H.
AU - Wu S.
AU - Li M.
AU - Hu Y.
PY - 2019
SP - 401
EP - 408
DO - 10.5220/0007922904010408