In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
첨부 '1' |
---|
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 |
-
박동규, 노명일, 하지상, "최적화 기법을 활용한 무인 수상정의 초기 제원 결정", 2023년도 대한조선학회 추계학술발표회, 울산, pp. 111, 2023.11.02-03
-
한인수, 노명일, 공민철, 이정렬, 박서윤, "자연어 처리 기술을 활용한 선박 규정 검색 알고리즘", 대한조선학회 추계학술발표회, 울산, pp. 113, 2023.11.02-03
-
김정연, 노명일, 이현승, 이인석, 김미진, 신동규, 유한준, "도면 내 배관 시스템의 자동 매칭 알고리즘", 2023년도 대한조선학회 추계학술발표회, 울산, 2023.11.02
-
공민철, 노명일, 하지상, 김미진, 김정연, "GNN 기반 P&ID의 패턴 인식 및 분석 방법", 2023년도 대한조선학회 추계학술발표회, 울산, pp. 108, 2023.11.02-03
-
Yeong-min Jo, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Do-Hyun Chun, Min-chul Kong, "An Improved Method for the Sensor Fusion for Autonomous Ships", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
-
In-Chang Yeo, Myung-Il Roh, Hye-Won Lee, Donghun Yu, "A Method for Automatic Berthing of a Ship Using LIDAR", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
-
Min-Chul Kong, Myung-Il Roh, Jisang Ha, Mijin Kim, Jeoungyoun Kim, "A Method for the Generation of Optimal Patterns for Equipment Unit Modules in the Engine Room", Proceedings of 10th PAAMES and AMEC 2023, Kyoto, Japan, 2023.10.18-20
-
여인창, 노명일, 공민철, 민동기, 정동근, "선박의 Safety Plan 검토를 위한 자동 데이터 생성과 딥 러닝 기반 객체 검출", 2023년도 한국CDE학회 하계학술발표회, 제주, pp. 13, 2023.08.23-26
-
한인수, 노명일, 공민철, "딥 러닝을 활용한 P&ID 내 장비 인식 방법", 2023년도 한국CDE학회 하계학술발표회, 제주, pp. 11, 2023.08.23-26
-
공민철, 노명일, 여인창, 민동기, 정동근, "그래프를 활용한 P&ID 내 장비의 연결 관계 표현 및 분석", 2023년도 한국CDE학회 하계학술발표회, 제주, p. 53, 2023.08.23-26