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Abstract Situational awareness is one of the most essential abilities of unmanned vessels. Even in the case of manned vessels, situational awareness can contribute to safe navigation by detecting and alerting potential collisions. Although radar and AIS(Automatic Identification System) are widely used for detection, it is necessary to use vision cameras that can take place of human eyes to detect near objects and identify object types. In this study, we performed machine vision based object detection and tracking for the situational awareness in maritime environment. For object detection, the state-of-the-art detection algorithms and their various backbone CNN(Convolutional Neural Network) models were applied; a two-stage detection model derived from Faster R-CNN and a single-stage detection model based on YOLO were implemented and tested in this study. The performance in mAP(mean average precision) score of each detection model was evaluated and compared. For object tracking, we surveyed not only conventional correlation filtering algorithms but also deep learning algorithms using LSTM(Long Short-Term Memory) network models. All the trainable detection and tracking models were trained by maritime domain image dataset. Performance of each model was estimated under maritime visionary environment.
Publication Date 2019-09-24

Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26


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  5. Yoon-Nam An, Joo-Sung Lee, Myung-Il Roh, Bum-Sang Yoon, Kyoung-Sik Chang, "Shape Optimization of Structural Member Based on Isogeometry Concept", Proceedings of the 24th Asian-Pacific TEAM(Technical Exchange and Advisory Meeting on Marine Structures) 2010, Vladivostok, Russia, pp. 343-348, 2010.08.23-26

  6. Yoon-Nam An, Joo-Sung Lee, Myung-Il Roh, Bum-Sang Yoon, Kyoung-Sik Chang, "Parametric Study of Mesh Refinement in Isogeometric Analysis", Proceedings of ISOPE(International Society of Offshore and Polar Engineers) 2010, Beijing, China, pp. 809-812, 2010.06.20-26

  7. Yoon-Nam An, Joo-Sung Lee, Myung-Il Roh, Bum-Sang Yoon, Kyoung-Sik Chang, "Parametric Study of Isogeometric Analysis Using NURBS", Proceedings of the 23rd Asian-Pacific TEAM(Technical Exchange and Advisory Meeting on Marine Structures) 2009, Kaohsiung, Taiwan, pp. 169-173, 2009.11.30-12.03

  8. Yeongmin Jo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Ship Tracking Method under Dynamic Characteristic Changes with LSTM", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10

  9. Yeong-min Jo, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Do-Hyun Chun, Min-chul Kong, "An Improved Method for the Sensor Fusion for Autonomous Ships", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20

  10. Won-Joon Lee, Kyu-Yeul Lee, Myung-Il Roh, O-Hwan Kwon, Sung-Geun Lee, "Development of an Initial Hull Structural CAD System for Computer-Aided Process Planning (CAPP)", Proceedings of ICCAS(International Conference on Computer Applications in Shipbuilding) 2002, Malmoe, Sweden, pp. 113-123, 2002.09.09-12

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