Ha-Yun Kim, Myung-Il Roh, Jisang Ha, In-Chang Yeo, Nam-Sun Son, "A Learning-based Method for Tracking Maritime Obstacles in Real-time", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21
첨부 '1' |
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Abstract | In this study, we implemented learning-based and hybrid methodologies for maritime obstacle tracking leveraging RADAR (RAdio Detection And Ranging) data. The learning-based method employs a deep learning algorithm to predict the state of the obstacle. It is compared with the EKF-based method, which utilizes an extended Kalman filter extensively used in obstacle tracking. Moreover, we propose a hybrid method that combines the strengths of both the learning-based and EKF-based methods to compensate for their respective shortcomings. Experimental RADAR data from field tests were utilized for validation, illustrating that the hybrid method improves tracking accuracy compared to the EKF-based approach. |
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Publication Date | 2024-06-17 |
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Ha-Yun Kim, Myung-Il Roh, Jisang Ha, In-Chang Yeo, Nam-Sun Son, "A Learning-based Method for Tracking Maritime Obstacles in Real-time", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21
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In-Chang Yeo, Myung-Il Roh, Min-Chul Kong, Dongki Min, Dongguen Jeong, "An Automated Method for the Review of a Ship’s Safety Plan Based on Deep Learning", Proceedings of ISOPE 2024, Rhodos, Greece, 2024.06.16-21
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In-Su Han, Myung-Il Roh, Min-Chul Kong, Jeongyoul Lee, Seoyoon Park, "A Search Method for Ship Regulations Considering Document Features", Proceedings of ICCAS 2024, Genoa, Italy, 2024.09.10-12
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Min-Chul Kong, Myung-Il Roh, In-Su Han, Mijin Kim, Jeoungyoun Kim, "A Method for Pipe Auto-routing Using Graph and Octree Structure", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09
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Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "A Method for the Automatic Generation of Hull Form Surfaces Based on MLP (Multi-Layer Perceptron) Considering Design Requirements", Proceedings of G-NAOE 2024, Southampton, UK, 2024.11.05-09