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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


  1. No Image 27Jan
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    Session 22, 2018년도 한국CDE학회 학술발표회, 횡성, 2018.01.24-26

  2. 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

  3. Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Namkug Ku, Sehyun Myung, "Big Data Platform for PLM (Product Lifecycle Management) Systems in Shipbuilding and Offshore Industry", Proceedings of ICCAS 2017, Singapore, Singapore, 2017.09.26-28

  4. Seong-Ho Seo, Myung-Il Roh, Nam-Kug Ku, Kyu-Yeul Lee, "Dynamic Response Simulation of an Offshore Wind Turbine Suspended by a Floating Crane", Proceedings of ISGMA(International Symposium on Green Manufacturing and Applications) 2012, Jeju, Korea, pp. 1-7, 2012.08.27-29

  5. Se-Yong Jeong, Seong-Ho Seo, Myung-Il Roh, "A Method for Determining a Ship Economic Route for Fuel Saving", Proceedings of ISGMA(International Symposium on Green Manufacturing and Applications) 2012, Jeju, Korea, pp. 1-5, 2012.08.27-29

  6. Sang-Rai Cho, Jong-Min Kim, Young-Hun Kim, Joo-Sung Lee, Myung-Il Roh, "Towards More Rational Design of Ship Structures against Collisions", Proceedings of ICCGS(International Conference on Collision and Grounding of Ships) 2013, Trondheim, Norway, pp. 187-195, 2013.06.17-19

  7. Sang-Hyun Lee, Myung-Il Roh, Seung-Min Lee, Ki-Su Kim, "Optimization Method for the Arrangement of LNG FPSO Considering Stability, Safety, Operability, and Maintainability", Proceedings of IMDC 2018, Helsinki, Finland, 2018.06.10-14

  8. Nam-kug Ku, Sol Ha, Myung-Il Roh, Kyu-Yeul Lee, "Dynamic Response Analysis of Multibody System in Discrete Event Simulation", Proceedings of ICORES(International Conference on Operations Research and Enterprise Systems) 2012, Algarve, Portugal, pp. 447-453, 2012.02.04-06

  9. Nam-Kug Ku, Sol Ha, Myung-Il Roh, Kyu-Yeul Lee, "Development of a Kernel for Dynamic Analysis of Various Types of Multi-Crane in Shipyard", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2013, Alaska, USA, pp. 693-701, 2013.06.30-07.05

  10. Nam-Kug Ku, Sol Ha, Myung-Il Roh, "Crane Modeling and Simulation in Offshore Structure Building Industry", Proceedings of ICCMS(International Conference on Computer Modeling and Simulation) 2014, Barcelona, Spain, pp. 1-7, 2014.02.20-21

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