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Abstract An unmanned surface vehicle (USV) requires the ability to detect adjacent objects and correctly classify them into ships and non-ships. In this study, one of the state-of-the-art neural network based object detection algorithms is applied to detect ships from the images and videos taken on the sea. Firstly, the universally pre-trained “reference model,” which is to detect and classify objects into a range of 20 general classes such as person, dog, cat, table, car, or boat, is prepared and tested. Secondly, the “proposed model” is trained using a public maritime dataset so that it can detect all types of floating objects and classify them into ten specific classes, e.g., ship, speedboat, buoy, etc. The proposed model outperforms the reference model in detecting maritime objects. It also shows real-time speed about 30 frames per second.
Publication Date 2018-06-13

Sung-Jun Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Il-Guk Woo, "Image-based Ship Detection and Classification for Unmanned Surface Vehicle Using Real-Time Object Detection Neural Networks", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2018, Sapporo, Japan, pp. 726-730, 2018.06.10-15


  1. No Image 03Jul
    by SyDLab
    in International Conference

    Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Crane Movement Control for Stability of Block Erection Based on Deep Reinforcement Learning", MIM 2019, Berlin, Germany, 2019.08.28-30

  2. No Image 11Apr
    by SyDLab
    in International Conference

    Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE 2019, Penang, Malaysia, pp. 245, 2019.07.07-10

  3. No Image 03Jul
    by SyDLab
    in International Conference

    Min-Jae Oh, Myung-Il Roh, Young-Soo Seok, and Sung-Jun Lee, "Optimization of a Ship Hull Form using Deep Learning", Proceedings of ACDDE 2019, Penang, Malaysia, 2019.07.07-10

  4. No Image 11Apr
    by SyDLab
    in International Conference

    Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, Kuk-Jin Kang, Seong-Yeob Jung, "Arctic Sea Route Planning Based on POLARIS Rule", Proceedings of ISOPE 2019, Honolulu, Hawaii, pp. 875-877, 2019.06.16-21

  5. No Image 03Jul
    by SyDLab
    in International Conference

    Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, Hoon-Kyu Oh, Sang-Ok Lee, "Optimum Layout Design of Wedges of Panel for an LNG Tank Considering Amount of Resin Ropes", Proeedings of ISOPE 2019, Honolulu, Hawaii, pp. 1289-1292, 2019.06.16-21

  6. No Image 28Sep
    by SyDLab
    in International Conference

    Seung-Ho Ham, Myung-Il Roh, Jong-Hyuk Lee, Sung-Jun Lee, "Multi-purpose Simulator for Ships and Offshore Structure", Proceedings of ACDDE 2018, Okinawa, Japan, 2018.11.1-3

  7. No Image 06Oct
    by SyDLab
    in International Conference

    Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Jeong-Youl Lee, Myeong-Jo Son, "Operational Analysis of Container Ships Using AIS Data", Proceedings of ACDDE 2018, Okinawa, Japan, 2018.11.1-3

  8. No Image 03Jul
    by SyDLab
    in International Conference

    Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Integrated Simulation Methods Based on Multibody Dynamics in Ships and Offshore Structures", Proceedings of the 32nd Asian-Pacific TEAM 2018, Wuhan, China, pp. 592-596, 2018.10.15-18

  9. No Image 03Jul
    by SyDLab
    in International Conference

    Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, In-Il Kim, Chang-Yong Kim, Won-Joon Lee, "Estimation of Ship Energy Efficiency from Big Data Analysis", Proceedings of the 32nd Asian-Pacific TEAM 2018, Wuhan, China, pp. 262-264, 2018.10.15-18

  10. No Image 22Mar
    by SyDLab
    in International Conference

    Seong-Yeob Jeong, Kuk-Jin Kang, Hyun-Soo Kim, Jung-Joong Kim, Myung-Il Roh, "A Study of Ship Safe Voyage Planning in the Northern Sea Route", Proceedings of PACOMS 2018, Jeju, Korea, 2018.10.14-17

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