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Abstract For safe operation, a navigator needs to accurately recognize the circumstance around the ship and constantly focus on objects that require attention. Therefore, the navigator should properly utilize the information of the field of vision seen from the ship and the sensor data such as AIS (Automatic Identification System), RADAR (RAdio Detection And Ranging), etc. However, since such data have different dimensions and meanings, it is not easy to interpret except for professionals, and it is not intuitive. In addition, it is difficult to obtain consistent and high-accuracy data depending on the characteristics of each sensor (detection distance, detection period, error, blind spot, etc.) and whether other ships are equipped with the AIS system. Therefore, we developed an integrated navigation assistance system that can effectively report sensor data to the navigator by sensor data fusion. We tracked the positions of ships by sensor data fusion through the tracking filter. To supplement the limitations of sensors, we used the object detection model. Collision risk was quantitatively calculated using the detected ships and tracking data, and the collision-free path of the own ship was generated. The above processes were modularized and integrated, and communication packets were defined to enable data exchange between each module. Finally, we implement a navigation assistance system that efficiently provides necessary information for navigating using AR (Augmented Reality) technology. In addition to ship detection and tracking data, the ship needs to visualize its own sensor data, such as rudder angle and engine RPM. Various data was provided as an intuitive UI by appropriately overlapping the information within the image. The integrated navigation assistance system was mounted on a test ship in actual operation, and its effectiveness was confirmed by transmitting necessary information to the land command center.
Publication Date 2022-11-09
Min-Chul Kong, Myung-Il Roh, Jisang Ha, Jeong-Ho Park, EunSeok Jin, Donghun Yu, "Integrated Navigation Assistance System Using Augmented Reality", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10

List of Articles
번호 분류 제목 Publication Date
445 International Conference Ki-Su Kim, Myung-Il Roh, Seung-Ho Ham, Sol Ha, "An Improved Method for the Evacuation Analysis of a Passenger Ship Considering Intermediate Flooding", Proceedings of PRADS 2022, Dubrovnik, Croatia, 2022.10.09-13 2022-10-09
444 International Conference 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.??, 2022.10.09-13 2022-10-09
443 International Conference 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 file 2022-10-09
442 International Conference 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 file 2022-09-14
441 International Conference 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 file 2022-09-14
440 International Conference 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 2022-09-13
439 Domestic Conference 전도현, 노명일, 여인창, "LNG선 멤브레인 탱크의 최적 설계 방법", 2022년도 대한조선학회 춘계학술발표회, 제주, pp. 411, 2022.06.02-04 file 2022-06-02
438 Domestic Conference 조영민, 노명일, 이혜원, 유동훈, "선박 탐지를 위한 레이더 데이터의 처리 방법", 2022년도 대한조선학회 춘계학술발표회, 제주, pp. 308, 2022.06.02-04 file 2022-06-02
437 Domestic Conference 정동근, 노명일, 김기수, 이준식, 김대혁, 장왕석, "쿼드 트리를 이용한 소형선의 항로 계획 방법", 2022년도 대한조선학회 춘계학술발표회, 제주, pp. 526, 2022.06.02-04 file 2022-06-02
436 Domestic Conference 공민철, 노명일, 김기수, 김종오, 박호균, 김주성, "PDF 문서 내 변수 인식 및 가시화 프로그램 개발", 2022년도 대한조선학회 춘계학술발표회, 제주, p. 198, 2022.06.02-04 file 2022-06-02
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