A novel positioning approach for an intelligent vessel based on an improved simultaneous localization and mapping algorithm and marine radar

Author:

Wu Chao123,Wu Qing12,Ma Feng2,Wang Shuwu24

Affiliation:

1. School of Logistics Engineering, Wuhan University of Technology, Wuhan, China

2. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan, China

3. School of Electronic Information, Yangtze University, Jingzhou, China

4. School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, China

Abstract

This research proposes a simultaneous localization and mapping approach to obtain the positioning information of a vessel in accordance with sequential radar images. At the very beginning, the digital image preprocessing methods are used to obtain the static feature point in radar images. Subsequently, the trajectory of the vessel is calculated based on a simultaneous localization and mapping–based algorithm. Finally, the calculated vessel trajectory is compared with the actual trajectory to verify the validity of the proposed approach. With the help of this approach, marine radar is capable of providing temporal positioning information of the vessel from a plethora of blips captured in frame-by-frame radar images. The proposed approach is unique in that it used marine radar as the only sensor to obtain the positioning information of the vessel. Particularly, field testing has been conducted to validate the effectiveness and accuracy of the proposed approach.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Mechanical Engineering,Ocean Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Identifying Ships From Radar Blips Like Humans Using a Customized Neural Network;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. A Novel Ship Speed and Heading Estimation Approach Using Radar Sequential Images;IEEE Transactions on Intelligent Transportation Systems;2023-10

3. A Lightweight Ship Identification Method for Embedded Devices in Marine Radar Surveillance Systems;2023 7th International Conference on Transportation Information and Safety (ICTIS);2023-08-04

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