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무인선 아라곤호의 자율 충돌회피 시스템 검증을 위한 실해역 시험에 관한 연구

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dc.contributor.author손남선-
dc.contributor.author김선영-
dc.date.accessioned2021-12-08T10:40:22Z-
dc.date.available2021-12-08T10:40:22Z-
dc.date.issued20181025-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/2984-
dc.description.abstractARAGON is an unmanned surface vehicle (USV) for ocean observation and sea surveillance of Korea Research Institute of Ships and Ocean Engineering (KRISO). It has been constructed through the research and development project, which is entitled with “The development of intelligent unmanned surface vehicle for multipurpose mission of ocean observation and sea surveillance” under the financial support of Korea Ministry of Oceans and Fisheries since 2011. Now, it is the final eighth fiscal year of the project. The length of ARAGON is about 7.5 meter and its maximum speed is over 40 knots. ARAGON has 400-HP diesel engine with single water-jet. In order to make USV navigate safely according to the convention on theinternational regulations for preventing collisions at sea, 1972 (COLREGs) without human operation, autonomous navigation system is needed. A collision avoidance system is developed by using changeable action space searching. Action space can be flexibly changed according to the collision risk, which is estimated by using obstacle information on a basis of fuzzy inference. Navigational information of USV such as position, speed, course and attitude are acquired by using real-time kinematic (RTK) GPS and Integrated Navigation System (INS). Obstacles can be detected and tracked by using multi-sensors fusion of automatic identification system (AIS), Pulse radar, light detection and ranging (Lidar) and EO/IR (Elect-
dc.language영어-
dc.language.isoENG-
dc.title무인선 아라곤호의 자율 충돌회피 시스템 검증을 위한 실해역 시험에 관한 연구-
dc.title.alternativeOn the sea trial test for the validation of an autonomous collision avoidance system of unmanned surface vehicle, ARAGON-
dc.typeConference-
dc.citation.titleIEEE OCEANS 2018-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage5-
dc.citation.conferenceNameIEEE OCEANS 2018-
dc.citation.conferencePlace미국-
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