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Abstract Safe navigation of ships depends on the accurate recognition and tracking of nearby maritime obstacles as detected by various sensors. Challenges arise in tracking maritime obstacles from sensor data because of sensor noise and incomplete sensor data. Traditionally, tracking algorithms such as the EKF (Extended Kalman Filter) have been applied to track the state of maritime obstacles, including the position, COG (Course Over Ground), and SOG (Speed Over Ground). This study implemented a combined EKF- and learning-based (hybrid) tracking method. In the EKF-based method, the parameters are related to the uncertainty of the system and the sensor data. These parameters are generally set manually by analyzing the noise of the sensor data and may not be optimal; we optimized the parameters to compensate for this. In the learning-based method, we trained a deep learning model using a DNN (Deep Neural Network) to predict obstacle states from sensor measurement data. We then propose a hybrid tracking method that combines the two tracking methods to compensate for the shortcomings of each method. We verified these three tracking methods using navigation data obtained through field tests. The verification results showed that the learning-based tracking method improved the SOG tracking accuracy by 11.47% compared with the traditional EKF-based tracking method. The tracking accuracy of the hybrid tracking method was reduced by 22.42% for the COG and 42.05% for the SOG. These results indicate that the hybrid tracking method effectively compensates for the limitations of the other methods, resulting in an enhanced tracking performance.
Publication Date 2024-09-16
Role Corresponding Author
Category SCI

Ha-Yun Kim, Myung-Il Roh, Hye-Won Lee, In-Chang Yeo, Yeong-Min Jo, Jisang Ha, Nam-Sun Son, “A Hybrid Tracking Method for Maritime Obstacles Using Sensor Data”, Ocean Engineering, Vol. 312, Part 2, 2024.09.16

https://doi.org/10.1016/j.oceaneng.2024.119242


List of Articles
번호 분류 제목 Publication Date
122 International Journal Ki-Su Kim, Myung-Il Roh, “Review of Ship Arrangement Design Using Optimization Methods”, accepted for publication in Journal of Computational Design and Engineering, 2024.12.07 new 2024-12-07
121 International Journal Dong-Woo Kim, Myung-Il Roh, Do-Hyun Chun, Sun-Hong Woo, Yong-Tai Kim, “A Method for the Profile Optimization of the Primary Barrier of a Membrane-type LNG Tank Using Surrogate Modeling”, accepted for publication in Ocean Engineering, 2024.12.06 2024-12-06
» International Journal Ha-Yun Kim, Myung-Il Roh, Hye-Won Lee, In-Chang Yeo, Yeong-Min Jo, Jisang Ha, Nam-Sun Son, “A Hybrid Tracking Method for Maritime Obstacles Using Sensor Data”, Ocean Engineering, Vol. 312, Part 2, 2024.09.16 file 2024-09-16
119 International Journal Jisang Ha, Myung-Il Roh, Hye-Won Lee, "Ship Route Planning for Collision Avoidance Based on the Improved Isochrone Method", International Journal of Naval Architecture and Ocean Engineering, 2024.08.14 2024-08-14
118 International Journal Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Yeong-Min Jo, Jisang Ha, Nam-Sun Son, "Multi-vessel Target Tracking with Camera Fusion for Unmanned Surface Vehicles", International Journal of Naval Architecture and Ocean Engineering, Vol. 16, 2024.07.14 file 2024-07-14
117 International Journal Min-Chul Kong, Myung-Il Roh, "A Method for Implementing a Ship Navigation Simulator for the Generation and Utilization of Virtual Data", International Journal of Naval Architecture and Ocean Engineering, 2024.06.25 file 2024-06-27
116 International Journal Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, "Hull Form Optimization of Fully Parameterized Small Ships Using Characteristic Curves and Deep Neural Networks", International Journal of Naval Architecture and Ocean Engineering, 2024.05.08 file 2024-05-08
115 International Journal Hyun-Soo Kim, Myung-Il Roh, “Interpretable, Data-driven Models for Predicting Shaft Power, Fuel Consumption, and Speed Considering the Effects of Hull Fouling and Weather Conditions”, IJNAOE, 2024.04.14 file 2024-04-14
114 International Journal Donghun Yu, Myung-Il Roh, “Method for Anti-collision Path Planning Using Velocity Obstacle and A* Algorithms for a Maritime Autonomous Surface Ship”, International Journal of Naval Architecture and Ocean Engineering, Vol. 16, 2024.02.02 file 2024-02-02
113 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "Method for Collision Avoidance Based on Deep Reinforcement Learning with Path-Speed Control for an Autonomous Ship", IJNAOE, Vol. 16, pp. 100579.1-19, 2023.12.22 file 2024-01-19
112 International Journal Do-Hyun Chun, Myung-Il Roh, In-Chang Yeo, Hye-Won Lee, “Proposed Method for Design Optimization of LNG Tanks Based on the Arrangement of Thermal Insulation Panels”, Ocean Engineering, Vol. 288, Part 2, pp. 116063.1-14, 2023.11.15 file 2023-11-15
111 International Journal Jisang Ha, Myung-Il Roh, Ki-Su Kim, Jin-Hyeok Kim, "Method for Pipe Routing Using the Expert System and the Heuristic Pathfinding Algorithm in Shipbuilding", International Journal of Naval Architecture and Ocean Engineering, 2023.05.26 file 2023-05-26
110 International Journal In-Chang Yeo, Myung-Il Roh, Do-Hyun Chun, Seok Ho Jang, Jae Won Heo, "Optimal Arrangement Design of Pipeline Support by Considering Safety and Production Cost", International Journal of Naval Architecture and Ocean Engineering, 2023.05.10 file 2023-05-10
109 International Journal Hye-Won Lee, Myung-Il Roh, Yeong-Min Cho, Jeong-Ho Park, "Data Association for Autonomous Ships Based on the Virtual Simulation Environment", Ocean Engineering, Vol. 281, pp. 114646.1-17, 2023.08.01 file 2023-08-01
108 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Ho-Gyun Park, Jong-Oh Kim, "Variable Indexing Method in Rule Documents for Ship Design Using Extraction of PDF Elements", Journal of Computational Design and Engineering, Vol. 9, No. 6, 2022.11.16 file 2022-11-16
107 International Journal Jin-Hyeok Kim, Myung-Il Roh et al., "Prediction of the Superiority of the Hydrodynamic Performance of Hull Forms Using Deep Learning", International Journal of Naval Architecture and Ocean Engineering, Vol. 49, pp. 100490.1-15, pp. 2022.11.01 file 2022-11-01
106 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", Journal of Computational Design and Engineering, Vol. 9, No. 4, pp. 1430- 1448, 2022.07.23 file 2022-07-23
105 International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
104 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
103 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vol. 8, No. 5 file 2021-10-01
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