이수민, 노명일, 하지상, 이원재, “해상 이미지로부터 선박의 위치를 추정하는 방법”, 한국CDE학회 논문집, Vol. 25, No. 3, pp. 320-328, 2020.09.01
Domestic Journal
2020.08.20 21:27
이수민, 노명일, 하지상, 이원재, “해상 이미지로부터 선박의 위치를 추정하는 방법”, 한국CDE학회 논문집, Vol. 25, No. 3, pp. 320-328, 2020.09.01
조회 수 498
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| Abstract | Recently, research on smart ships is actively underway. One of the key technologies for smart ships is ANS (Autonomous Navigation System). To ensure the reliability of such ANS, it is important to estimate the locations of other ships. Although the method of utilizing the AIS (Automatic Identification Information) or RADAR (RAdio Detection And Ranging) is very efficient, it is difficult to guarantee the reliability of the ANS depending on only the equipment since small boats often operate without them. This problem can be solved by estimating the locations of other ships from ocean images using cameras on the own ship. To estimate the locations from the images, the horizon must be detected. The accuracy of the existing method for detecting the horizon is very low when the weather is cloudy, or there are obstacles on the sea. In this study, 300 image data sets are generated using the Singapore Maritime Dataset to train a deep learning model called the Fully Convolutional Network (FCN) for detecting the horizon. Using the trained model, the horizons of the actually captured images are detected. Then, the locations of other ships are calculated using the detected horizon, and the results are compared with the AIS data. The results show that the proposed method can detect the horizon and can be used to estimate the locations of other ships from ocean images. |
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| Publication Date | 2020-09-01 |
| Role | Corresponding Author |
| Category | KCI |
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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
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함승호, 노명일, 이종혁, “다목적 조선 해양 전용 시뮬레이터 개발을 위한 통합 시뮬레이션 방법”, 한국CDE학회 논문집, Vol. 25, No. 2, pp. 161-172, 2020.06.01
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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
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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
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이수민, 노명일, 하지상, 이원재, “해상 이미지로부터 선박의 위치를 추정하는 방법”, 한국CDE학회 논문집, Vol. 25, No. 3, pp. 320-328, 2020.09.01
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이준범, 노명일, 오민재, “공간 가용성을 고려한 해양 구조물의 배관 라우팅”, 한국CDE학회 논문집, Vol. 24, No. 3, pp. 280-288, 2019.08.25
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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
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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
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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
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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
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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
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김기수, 노명일, 정양재, 나갑주, "해기상 예측 및 가시화를 위한 응용 프로그램", 한국CDE학회 논문집, Vol. 25, No. 4, pp. 434-444, 2020.12.01
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Hye-Won Lee, Joo-Hyun Woo, Myung-Il Roh, Seung-Ho Ham, et al., "Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System", Journal of Marine Science and Technology (Taiwan)
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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
