Skip to content
Extra Form
Abstract Ports often experience congestion due to the presence of other ships. This congestion poses challenges for ship berth-ing, and even minor errors during the berthing process can lead to significant accidents. Therefore, it is crucial to accu-rately detect the port surroundings and generate a route for automatic berthing based on this accurate detection. To ad-dress these concerns, this study proposes a method that utilizes LIght Detection And Ranging (LIDAR) to detect nearby objects, such as other ships and quays, and generate automatic berthing routes. LIDAR is known for its high detection accuracy compared to other sensors. However, LIDAR data is typically represented as a point cloud, requir-ing the de-tection of individual objects within it. This study employed a deep learning-based method for precise object detection in the point cloud.
Deep learning-based object detection methods have gained significant attention recently. However, they often re-quire large amounts of data for effective training. While various sensor data related to autonomous vehicle navigation are openly available, similar resources for ship navigation are limited. To overcome this limitation, this study collected virtual data by implementing a virtual marine environment using Unity and LIDAR sensors. Object detection using LIDAR alone is insufficient for generating automatic berthing routes. Therefore, this study incorporated real-time ship location recogni-tion and the generation of a surrounding map. The generated map enables the recognition of the ship's surrounding situa-tion, facilitating the creation of automatic berthing routes. The proposed method was applied and validated in a virtual marine environment using Unity, confirming the high accuracy of object detection. Additionally, the effectiveness of generating automatic berthing routes was also demonstrated.
Publication Date 2023-10-19

In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of the 10th PAAMES(Pan Asian Association of Maritime Engineering Societies) and AMEC(Advanced Maritime Engineering Conference) 2023, Kyoto, Japan, 2023.10.18-20


List of Articles
번호 분류 제목 Publication Date
» International Conference In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of PAAMES/AMEC 2023, Kyoto, Japan, 2023.10.18-20 file 2023-10-19
502 Domestic Conference 전도현, 노명일, 유동훈, "강화 학습 및 속도 장애물 기법을 적용한 선박의 충돌 회피 경로 생성 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 96, 2024.01.29-02.01 file 2024-01-30
501 Domestic Conference 박동규, 노명일, 하지상, "추진 체계 선정을 포함한 무인수상정 초기 제원 최적화 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, p. 241, 2024.01.29-02.01 file 2024-01-31
500 Domestic Conference 하지상, 노명일, 공민철, 한인수, 김미진, 김정연, "전문가 지식을 고려한 선박 유닛 모듈의 배관 배치 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 124, 2024.01.29-02.01 file 2024-01-30
499 Domestic Conference 김하연, 노명일, 하지상, "해상 장애물 추적을 위한 혼합 추적 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 94, 2024.01.29-02.01 file 2024-01-30
498 Domestic Conference 김진혁, 노명일 ,여인창, "MLP 기반 상선의 선형 변환 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 28, 2024.01.29-02.01 file 2024-01-30
497 Domestic Conference 한인수, 노명일, 공민철, 이정렬, 박서윤, "의미 유사도 기반의 선박 규정 검색 알고리즘", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 126, 2024.01.29-02.01 file 2024-01-30
496 Domestic Conference 여인창, 노명일, 공민철, 유동훈, 진은석, "LIDAR를 이용한 선박의 위치 예측 알고리즘", 2024년도 한국CDE학회 동계학술발표회, 평창, pp. 99, 2024.01.29-02.01 file 2024-01-30
495 Domestic Conference 공민철, 노명일, 하지상, 한인수, 김미진, 김정연, "선박 내 배관의 자동 배치를 위한 P&ID의 그래프 변환 방법", 2024년도 한국CDE학회 동계학술발표회, 평창, p. 129, 2024.01.29-02.01 file 2024-01-30
494 Domestic Conference 박동규, 노명일, 하지상, "무인 수상정의 개념 설계를 위한 주요 제원 최적화 방법", 2023년도 한국해군과학기술학회 동계학술발표회, 대전, pp. 110-141, 2023.12.07-08 file 2023-12-08
Board Pagination Prev 1 ... 7 8 9 10 11 12 13 14 15 16 ... 62 Next
/ 62

Powered by Xpress Engine / Designed by Sketchbook

sketchbook5, 스케치북5

sketchbook5, 스케치북5

나눔글꼴 설치 안내


이 PC에는 나눔글꼴이 설치되어 있지 않습니다.

이 사이트를 나눔글꼴로 보기 위해서는
나눔글꼴을 설치해야 합니다.

설치 취소