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
International Conference
2019.05.23 06:12
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 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26
조회 수 16289
| 첨부 '1' |
|---|
| 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 |
-
Min-Chul Kong, Myung-Il Roh, Jisang Ha, Eun Seok Jin, Donghun Yu, "Design of the Integrated System for the Safe Operation Based on Augmented Reality", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13
-
Ki-Su Kim, Myung-Il Roh, Seung-Ho Ham, Sol Ha, "Evacuation Analysis of Passenger Ships Considering Intermediate Flooding", Proceedings of International Symposium on PRADS 2022, Dubrovnik, Croatia, pp. 628-632, 2022.10.09-13
-
Jisang Ha, Myung-Il Roh, Ki-Su Kim, Min-Chul Kong, "Integrated Method for the Arrangement Design of a Ship for Implementing Digital Twin in Design", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13
-
Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, Bo-Woo Nam, "Coupled Analysis of the LNG Offloading Operation Based on Multibody Dynamics", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13
-
Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo, Ki-Su Kim, Min-Jae Oh, Sejin Oh, "Estimation Model of Hydrodynamic Performance Using Hull Form Variation and Deep Learning", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp. 82, 2022.10.09-13
-
Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Method for Automatic Control of Cranes for Block Lifting in Shipyard", Proceedings of PRADS 2022, Dubrovnik, Croatia, pp. 64, 2022.10.09-13
-
Dong-Guen Jeong, Myung-Il Roh, Ki-Su Kim, Jun-Sik Lee, Dae-Hyuk Kim, Wang-Seok Jang, "A Route Planning Method for Coastal Navigation of Small Ships", Proceedings of ICCAS 2022, Yokohama, Japan, pp. 153-156, 2022.09.13-15
-
Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jongoh Kim, Hogyun Park, Jeongyoul Lee, "A Method of Variable Recognition and Connection for Reviewing Ship Regulations", Proceedings of ICCAS 2022, Yokohama, Japan, pp. 171-175, 2022.09.13-15
-
Jeong-Ho Park, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Jo, Nam-Sun Son, "Obstacle Detection and Tracking of Unmanned Surface Vehicles Using Multi-view Images in Marine Environment", Proceedings of ICCAS 2022, Yokohama, Japan, 2022.09.13-15
-
Myung-Il Roh, "Applications of Deep Learning in Ship Design, Production, and Operation Stages", Proceedings of ICDM(International Conference on Decarbonization and Digitalization in Marine Engineering) 2022, Siheung, Korea, 2022.04.28-29
