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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
446 International Conference Do-Hyun Chun, Myung-Il Roh, In-Chang Yeo, "Optimum Design of Membrane-type LNG Tanks for Installing Insulation", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10 2022-11-07
445 Domestic Conference 박정호, 노명일, 이혜원, 조영민, 손남선, "영상 기반의 선박 추적을 위한 개선된 방법", 2022년도 대한조선학회 춘계학술발표회, 제주, p.311, 2022.06.02-04 file 2022-06-02
444 Domestic Conference 김진혁, 노명일, 여인창, 김기수, 오민재, "딥 러닝을 이용한 소형 선박의 저항 예측", 2022년도 대한조선학회 춘계학술발표회, 제주, pp. 290, 2022.06.02-04 file 2022-06-02
443 International Conference Dong-Guen Jeong, Myung-Il Roh, Ki-Su Kim, Jun-Sik Lee, Dae-Hyuk Kim, Wang-Seok Jang, "A Method for Route Planning of Small Ships in Coastal Areas", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
442 International Conference Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Block Lifting Method with Wire Ropes Based on Deep Reinforcement Learning", Proceedings of ICDM 2022, Si-Heung, Korea, 2022.04.28-29 2022-04-28
441 Domestic Conference 이혜원, 노명일, 박정호, "선박 추적을 위한 센서 데이터 연관 방법", 2022년도 대한조선학회 춘계학술발표회, 제주, pp. 309, 2022.06.02-04 file 2022-06-02
440 Domestic Conference 여인창, 노명일, 전도현, 장석호, 허재원, "안전성과 경제성을 고려한 배관 지지대 설계", 2022년도 대한조선학회 춘계학술발표회, 제주, p. 403, 2022.06.02-04 file 2022-06-02
439 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
438 International Conference In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, "An Optimization Method of the Surround-View Camera System for Automatic Berthing of Ships", Proceedings of G-NAOE 2022, Changwon, Korea, 2022.11.06-10 2022-11-06
» International Conference 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 2022-11-09
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