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Abstract Developing a high-level autonomous collision avoidance system for ships which can operate in an unstructured and unpredictable environment is a challenging task. Especially in the congested sea areas, each ship should continuously make decisions to avoid collisions with many other ships in the busy and complex waterway. Furthermore, recent reports indicate that a large number of collision accidents at sea are caused by or related to human decision failures with lack of situational awareness and failure to comply with International Regulations for Preventing Collisions at Sea (COLREGs). In this study, we propose a robust and efficient method to collision avoidance problems of multi-ships based on the deep reinforcement learning (DRL) algorithm. The proposed method directly maps the states of encountered ships to an ownship’s steering commands in terms of the rudder angle using a deep neural network (DNN). This DNN is trained over multi-ships on rich encountering situations using the policy gradient based DRL algorithm. To handle multiple encountered ships, we classify them into four regions based on COLREGs, and only consider the nearest ship in each region. We validate the proposed method in a variety of simulated scenarios thorough performance evaluations. The result shows that the proposed method can find time efficient, collision-free paths for multi-ships. Also, it shows that the proposed method has excellent adaptability to unknown complex environments.
Publication Date 2019-09-24

Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs", Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26


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    CategoryInternational Conference
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  2. Luman Zhao, Myung-Il Roh, Seung-Ho Ham, "Anti-sway Control of the Crane on an Offshore Support Vessel Based on the Hardware-In-the-Loop Simulation", Proceedings of ISOPE 2017, San Francisco, USA, pp. 651-654, 2017.06.25-30

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  3. Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26

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  4. Luman Zhao, Myung-Il Roh, Hye-Won Lee, "Control Design for an Unmanned Surface Vessel Based on Hardware-In-the-Loop Simulation", Proceedings of SUTTC(The Society for Underwater Technology Technical Conference) 2017, Haikou, China, 2017.11.23-24

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  5. Kyu-Yeul Lee, Seon-Ho Cho, Myung-Il Roh, "An Efficient Global-Local Hybrid Optimization Method Using Design Sensitivity Analysis", Proceedings of OptiCon 2000, Newport Beach, USA, pp. 1-13, 2000.10.26-27

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  6. Kyu-Yeul Lee, Sang-Uk Lee, Doo-Yeoun Cho, Myung-Il Roh, Seong-Chan Kang, Jung-Woo Seo, "An Innovative Compartment Modeling and Ship Calculation System", Proceedings of IMDC(International Marine Design Conference) 2003, Athens, Greece, 2003.05.05-08

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  7. Kyu-Yeul Lee, Myung-Il Roh, Sang-Uk Lee, Joong-Hyun Rhim, Seong-Chan Kang, Jong-Hyun Kim, Jeong-Youl Lee, "Development of a Hull Structural CAD System for an Initial Design Stage", Proceedings of International Symposium on PRADS(Practical Design of Ships and Other Floating Structures) 2004, Lubeck Travemunde, Germany, pp. 98-105, 2004.09.12-17

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  8. Kyu-Yeul Lee, Myung-Il Roh, Ju-Hwan Cha, "Development of a Non-linear Optimization Program and Its Applications to Shipbuilding", Proceedings of the 1st Mongolia-Korea Joint Workshop on CAD/CAM, Ulaanbaatar, Mongolia, pp. 1-5, 2007.07.08-10

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  9. Kyu-Yeul Lee, Myung-Il Roh, Hang-Soon Choi, Woo-Jae Seong, "Development of Hybrid Optimization Method and Its Application to Ship Design Optimization", Proceedings of Pacific 2002 International Maritime Conference, Sydney, Australia, 2002.01.29-31

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  10. Kyu-Yeul Lee, Ju-Hwan Cha, Joon-Chae Lee, Myung-Il Roh, Ji-Hyun Hwang, "Determination of the Optimal Operating Condition of Dual Mixed Refrigerant Cycle at the Pre-FEED Stage of LNG FPSO Topside Liquefaction Process", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2011, Maui, USA, pp. 151-158, 2011.06.19-24

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