Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15
https://doi.org/10.1016/j.oceaneng.2021.109216
첨부 '1' |
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Abstract | Social interest in autonomous navigation systems for autonomous ships is also increasing. For a robust autonomous navigation system, the location, speed, and direction of the ship and other ships must be identified in real time, and collision avoidance should be performed at an appropriate time by considering the collision risk. In this study, we proposed a collision avoidance method that quantitatively assesses the collision risk and then generates an avoidance path. First, to assess the collision risk, a collision risk assessment method based on the ship domain and the closest point of approach (CPA) was proposed. The ship domain is created with an asymmetric shape considering manoeuvring performance and the COLREGs. The CPA is used to assess quantitative collision risk value. Subsequently, a path generation algorithm based on deep reinforcement learning (DRL) was proposed to determine the avoidance time and to generate an avoidance path complying the COLREGs for the most dangerous ship in terms of collision risk. The information of own ship and target ship such as location, speed, heading, collision risk is used as the input state, and the rudder angle of own ship is set as the output action of the DRL. The cost function related to the path following and the collision avoidance is defined as the reward of the DRL-based collision avoidance method. Additionally, the DRL modes are defined to navigate the flexible avoidance path by changing the ratio between the path following and the collision avoidance. To verify the proposed method, we compared the collision avoidance method with the A* algorithm, which is a traditional path planning algorithm, and analyzed the results for various scenarios. The proposed method reliably avoided collisions through flexible paths for complex and unexpected changes in situations compared to the A* algorithm. |
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Publication Date | 2021-08-15 |
Role | Corresponding Author |
Category | SCI |
Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15
https://doi.org/10.1016/j.oceaneng.2021.109216
Luman Zhao, Myung-Il Roh, "COLREGs-Compliant Multiship Collision Avoidance Based on Deep Reinforcement Learning", Ocean Engineering, Vol. 191, pp. 1-15, 2019.11.01
Seung-Ho Ham, Myung-Il Roh, Hye-Won Lee, "Collision Detection and Response of Multibody Systems Using a Position Difference Method and Non-Interpenetration Constraint in Shipbuilding Simulation", Ocean Engineering, Vol. 195, pp. 1-18, 2020.01.01
Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, “Optimum Arrangement Design of Mastic Ropes for Membrane-type LNG Tanks Considering the Flatness of Thermal Insulation Panel and Production Cost”, Journal of Marine Science and Engineering, Vol. 8, No. 5
Seong-Hoon Kim, Myung-Il Roh, Min-Jae Oh, Sung-Woo Park, "Estimation of Ship Operational Efficiency from AIS Data Using Big Data Technology", IJNAOE, Vol. 12, pp. 440-453, 2020.05.21
Sang-Hyun Lee, Myung-Il Roh, Min-Jae Oh, Ki-Su Kim, "Optimal Layout Design of an LNG FPSO: A Case Study", Journal of Offshore Mechanics and Arctic Engineering, Vol. 142, No. 041403, pp. 1-17, 2020.08.01
Ki-Su Kim, Myung-Il Roh, “ISO 15016:2015-based Method for Estimating the Fuel Oil Consumption of a Ship”, Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 791:1-18, 2020.10.12
Ki-Su Kim, June-Beom Lee, Myung-Il Roh, Ki-Min Han, Gap-Heon Lee, "Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM", Journal of Marine Science and Engineering, Vol. 8, No. 10, pp. 805:1-24, 2020.10.14
Joo-Pil Lee, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "Design of a Wreck Removal Method Considering Safety and Economy", Ships and Offshore Structures, Vol. 15, No. 10, pp. 1037-1056, 2020.12.01
Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Block Erection Simulation Considering Frictional Contact with Wire Ropes", Ocean Engineering, Vol. 217, pp. 1-24, 2020.12.01
Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, "Image-based Ship Detection Using Deep Learning", Ocean Systems Engineering, Vol. 10, No. 4, pp. 415-434, 2020.12.01
Ki-Su Kim, Myung-Il Roh, "Dynamic Flooding Analysis Method for Intermediate Flooding Process of a Ship", Ocean Engineering, Vol. 218, pp. 108173.1-33, 2020.12.15
Seung-Ho Ham, Myung-Il Roh, “Time-domain Structural Analysis During Block Turnover and Lifting Using 2D Flexible Multibody Dynamics”, Marine Structures, Vol. 75, pp. 102841.1-26, 2021.01.01
Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Underactuated Crane Control for the Automation of Block Erection in Shipbuilding", Automation in Construction, Vol. 124, pp. 1-28, 2021.04.01
Seung-Min Lee, Jong-Hyeok Lee, Myung-Il Roh, Ki-Su Kim, Seung-Ho Ham, Hye-Won Lee, "An Optimization Model of Tugboat Operation for Conveying a Large Surface Vessel", Journal of Computational Design and Engineering, Vol. 8, No. 2, 2021.04.01
Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Myeong-Jo Son, Jeong-Youl Lee, “Operational Analysis of Container Ships by Using Maritime Big Data”, Journal of Marine Science and Engineering, Vol. 9, No. 4, pp. 438: 1-21, 2021.04.18
Beom-Soo Kim, Min-Jae Oh, Jae-Hoon Lee, Yonghwan Kim, Myung-Il Roh, "Study on Hull Optimization Process Considering Operational Efficiency in Waves", Processes, Vol. 9, No. 5, pp. 898.1-21, 2021.05.19
Jisang Ha, Myung-Il Roh, Seung-Ho Ham, Sung-Jun Lee, “Optimum Design of the Underwater Discharge System Based on Surrogate Modeling”, Journal of Marine Science and Technology (Taiwan), Vol. 29, No. 3, pp. 338-353, 2021.06.01
Jisang Ha, Myung-Il Roh, Hye-Won Lee, “Quantitative Calculation Method of the Collision Risk for Collision Avoidance in Ship Navigation Using the CPA and Ship Domain”, Journal of Computational Design and Engineering, Vol. 8, No. 3, 2021.06.01
June-Beom Lee, Myung-Il Roh, Ki-Su Kim, “Prediction of Ship Power Based on Variation in Deep Feed-forward Neural Network”, International Journal of Naval Architecture and Ocean Engineering, 2021.08.07
Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Donghun Yu, “Deep Reinforcement Learning-based Collision Avoidance for an Autonomous Ship”, Ocean Engineering, Vol. 234, pp. 1-20, 2021.08.15