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Abstract The unmanned surface vehicle (USV) is recently getting more attention with the development of autonomous navigation technology. The USV operates for various purposes, such as marine reconnaissance and survey, and it can operate as a group according to specific scenarios. In this study, a method of obstacle detection and tracking of USVs using multi-view images in marine environment was proposed. We assumed each USV detected marine obstacles by the camera mounted on itself and tracked the position and speed of the obstacles. For this, the YOLO algorithm, which is one of the real-time object detection algorithms based on CNN (Convolutional Neural Network), was adopted after fine tuning. Subsequently, the relative position of the detected obstacle was estimated through the position estimation algorithm of a monocular camera. Then, the position, speed, and course of each obstacle were tracked using the extended Kalman filter. Finally, the accuracy of the tracking results was improved through the data fusion of the tracked data from multiple USVs. The proposed method was validated through the actual field test using multiple USVs. As a result, it was confirmed that the proposed method could be useful in detecting and traking the obstacles in maritime environment.
Publication Date 2022-09-13

Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Jo, Nam-Sun Son, "Obstacle Detection and Tracking of Unmanned Surface Vehicles Using Multi-view Images in Marine Environment", Proceedings of ICCAS 2022, Yokohama, Japan, 2022.09.13-15


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  2. Jisang Ha, Myung-Il Roh, Jong-Hyeok Lee, Jin-Hyeok Kim, Min-Chul Kong, Seung-Ho Ham, "Integrated Ship Remote Operating System Based on Digital Twin Technology", Proceedings of TEAM 2019, Tainan, Taiwan, pp. 106, 2019.10.14-17

  3. Jisang Ha, Myung-Il Roh, Hye-Won Lee, Jong-Ho Eun, Jong-Jin Park, Hyun-Joe Kim, "A Method of the Collision Avoidance of a Ship Using Real-time AIS Data", Proceedings of ACSMO 2020, Seoul, Korea, pp. 106, 2020.11.23-25

  4. Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Min-Jae Oh, Sejin Oh, "Estimation Model of Hydrodynamic Performance Using Hull Form Variation and Deep Learning", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp.??, 2022.10.09-13

  5. Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, "Estimation of the Hydrodynamic Performance of the Parameterized Hull Forms Using Deep Learning", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10

  6. Ji-Hyun Hwang, Young-Joo Ahn, Joon-Ho Min, Gwang-No Lee, Ho-Jin Jeong, Mung-Yu Kim, Hee-Chang Kim, Myung-Il Roh, Kyu-Yeul Lee, "Application of an Integrated Basic Process Engineering Solution to Generic LNG FPSO Topsides", Proceedings of ISOPE 2009

  7. Ji-Hyun Hwang, Nam-Kug Ku, Joon-Chae Lee, Myung-Il Roh, Kyu-Yeul Lee, "Optimal Synthesis of LNG FPSO Liquefaction Cycles", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2012, Rhodes, Greece, pp. 927-935, 2012.06.17-22

  8. Ji-Hyun Hwang, Ju-Hwan Cha, Seung-Ho Ham, Bo-Ram Kim, Myung-Il Roh, Kyu-Yeul Lee, "Establishment of Offshore Process FEED Method for Oil-Based FPSO Topsides Systems", Proceedings of ISOPE 2009, Osaka, Japan, pp. 144-150, 2009.06.21-26

  9. Ji-Hyun Hwang, Joon-Ho Min, Young-Joo Ahn, Hee-Chang Kim, Myung-Il Roh, Kyu-Yeul Lee, "Optimized Methodology to Build an Integrated Solution to Offshore Topside Process Engineering", Proceedings of ISOPE 2008, Vancouver, Canada, 2008.07.06-11

  10. Jeong-Woo Hong, Seung-Ho Ham, Luman Zhao, Xing Li, Sol Ha, Myung-Il Roh, "Offshore Installation of Subsea Equipment Considering Elasticity of the Crane Boom in Harsh Environment", Proceedings of ISOPE 2015, Hawaii, USA, 2014.06.21-26

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