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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

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번호 분류 제목 Publication Date
506 Domestic Conference 임중현, 이상욱, 노명일, 이규열, "다면체를 이용한 선박 구획 계산에 관한 연구", 1999년도 대한조선학회 춘계학술발표회, 거제, pp. 103-106, 1999.04.22-23 file 1999-04-22
505 Domestic Conference 노명일, 이규열, "협동 최적화 방법에 의한 다분야 최적화 기법에 관한 연구", 1999년도 대한조선학회 추계학술발표회, 대전, pp. 159-164, 1999.11.11-12 file 1999-11-11
504 Domestic Conference 노명일, 이규열, "협동 최적화 접근방법에 의한 다분야 최적 설계에 관한 연구", 2000년도 한국CAD/CAM학회 학술발표회, 서울, pp. 163-170, 2000.02.11 file 2000-02-11
503 International Conference Kyu-Yeul Lee, Seon-Ho Cho, Myung-Il Roh, "An Efficient Global-Local Hybrid Optimization Method Using Design Sensitivity Analysis", Proceedings of OptiCon 2000, Newport Beach, USA, pp. 1-13, 2000.10.26-27 file 2000-10-26
502 Domestic Conference 한성남, 이규열, 노명일, "개선된 유전자 알고리즘을 이용한 최적 공간 배치 설계에 관한 연구", 2001년도 한국CAD/CAM학회 학술발표회, 서울, pp. 253-260, 2001.02.09 file 2001-02-09
501 Domestic Conference 이규열, 노명일, "Hybrid Optimization 방법과 CORBA를 이용한 다분야 최적 설계에 관한 연구", 2001년도 한국항공우주학회 학술발표회, 진주, pp. 590-593, 2001.04.14 file 2001-04-14
500 Domestic Conference 한성남, 노명일, 이규열, "최적 공간 배치 설계를 위한 개선된 유전자 알고리즘에 관한 연구", 2001년도 한국경영과학회/대한산업공학회 춘계학술발표회, 양양, pp. 239, 2001.04.27-28 file 2001-04-27
499 International Conference Kyu-Yeul Lee, Myung-Il Roh, Hang-Soon Choi, Woo-Jae Seong, "Development of Hybrid Optimization Method and Its Application to Ship Design Optimization", Proceedings of Pacific 2002 International Maritime Conference, Sydney, Australia, 2002.01.29-31 file 2002-01-29
498 Domestic Conference 이원준, 이규열, 권오환, 노명일, "의미론적 제품 데이터 모델 기반 초기 선체 구조 CAD 시스템 개발", 2002년도 한국CAD/CAM학회 학술발표회, 서울, pp. 75-87, 2002.01.30 file 2002-01-30
497 Domestic Conference 정혁수, 이규열, 노명일, "다중 갑판을 고려한 함정의 최적 격실 배치 설계에 관한 연구", 2002년도 대한조선학회 춘계학술발표회, 부산, pp. 71-78, 2002.04.18-19 file 2002-04-18
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