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Proceedings Paper

Rapid path planning for unmanned surface vessels
Author(s): Yueming Qin; Junxin Liu; Xing Shao; Suping Duan
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Paper Abstract

Path planning is of essential importance for Unmanned Surface Vessels (USV). Lots of path planning algorithms have been proposed in the last few years, however these algorithms have high computational complexity. Therefore, these algorithms are time consuming and not suitable for online path planning. In this paper, a rapid path planning algorithm for USVs is developed. The proposed algorithm segments the searching space into three subspaces: starting subspace, end subspace and passing subspace. With consider the performances of USVs, our algorithm plans a path from the edge of the starting subspace to the end subspace. Therefore the computational complexity is dramatically decreased. The experiment results show that the proposed scheme is efficient to fulfill the path planning task.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143217 (14 February 2020); doi: 10.1117/12.2538593
Show Author Affiliations
Yueming Qin, Yichang Testing Technique Research Institute (China)
Junxin Liu, Yichang Testing Technique Research Institute (China)
Xing Shao, Yichang Testing Technique Research Institute (China)
Suping Duan, Yichang Testing Technique Research Institute (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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