ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Develop and Evaluate of Intelligent Autonomous-ship Framework
Cited 0 time in scopus Download 10 time Share share facebook twitter linkedin kakaostory
저자
문경덕, 정치윤, 김무섭, 박윤경, 이광일
발행일
202011
출처
International Conference on Maritime Autonomous Surface Ship (ICMASS) 2020, pp.1-7
DOI
https://dx.doi.org/10.1088/1757-899X/929/1/012006
협약과제
20PS3300, 자율운항선박 성능실증센터 운용시스템 개발 및 구축, 김무섭
초록
The Autonomous Ship(AS) is a dream ship which navigates the sea on its own without any captains or crews. Many related studies on AS and the advent of deep learning technologies enable ASs voyage in the near future. They have been focused on proposing and verifying feasibility of their concept. However, there have not been little tried to compare results of ASs to that of captains. In this paper, we propose an Intelligent Autonomous-Ship Framework(IASF) which enables to develop ASs based on deep-learning while supporting fundamental functions necessary for ASs such as collecting navigational information, recognizing navigational status, and controlling route. The IASF-based AS was evaluated through simulation with compared to results of captains.
KSP 제안 키워드
deep learning(DL), learning technology
본 저작물은 크리에이티브 커먼즈 저작자 표시 (CC BY) 조건에 따라 이용할 수 있습니다.
저작자 표시 (CC BY)