A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Authors
Liu, Xintong
Hu, Yutian
Ji, Huiting
Zhang, Mingyang
Yu, Qing
Date
2023-07
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Mcode
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Language
en
Pages
22
Series
Journal of Marine Science and Engineering, Volume 11, issue 7
Abstract
Newly built offshore wind farms (OWFs) create a collision risk between ships and installations. The paper proposes a real-time traffic monitoring method based on machine vision and deep learning technology to improve the efficiency and accuracy of the traffic monitoring system in the vicinity of offshore wind farms. Specifically, the method employs real automatic identification system (AIS) data to train a machine vision model, which is then used to identify passing ships in OWF waters. Furthermore, the system utilizes stereo vision techniques to track and locate the positions of passing ships. The method was tested in offshore waters in China to validate its reliability. The results prove that the system sensitively detects the dynamic information of the passing ships, such as the distance between ships and OWFs, and ship speed and course. Overall, this study provides a novel approach to enhancing the safety of OWFs, which is increasingly important as the number of such installations continues to grow. By employing advanced machine vision and deep learning techniques, the proposed monitoring system offers an effective means of improving the accuracy and efficiency of ship monitoring in challenging offshore environments.Description
Funding Information: This work is supported by National Natural Science Foundation of China under grant 52201412, Natural Science Foundation of Fujian Province under grant No. 2022J05067 and Fund of Hubei Key Laboratory of Inland Shipping Technology (NO. NHHY2021001). Publisher Copyright: © 2023 by the authors.
Keywords
deep learning, offshore wind farms, stereo vision, traffic safety, YOLOv7
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Citation
Liu, X, Hu, Y, Ji, H, Zhang, M & Yu, Q 2023, ' A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area ', Journal of Marine Science and Engineering, vol. 11, no. 7, 1259 . https://doi.org/10.3390/jmse11071259