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dc.contributor.authorYU, SON-CHEOL-
dc.contributor.authorSUNG, MINSUNG-
dc.date.accessioned2023-02-17T01:48:18Z-
dc.date.available2023-02-17T01:48:18Z-
dc.date.created2023-02-16-
dc.date.issued2022-06-23-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/115161-
dc.description.abstractOne challenge in developing an underwater sonar algorithm is the lack of data. This paper proposes a method for efficiently synthesizing arbitrary underwater sonar image. The proposed method reconstructs a model in three dimensions from an optical image using neural network, and then generates sonar images according to sonar sensor’s imaging model. As a result, by physically realizing the specific condition on laboratory, underwater sonar data set can be efficiently constructed.-
dc.languageKorean-
dc.publisher제어로봇시스템학회-
dc.relation.isPartOf제37회 제어로봇시스템학회 학술대회 (ICROS 2022)-
dc.relation.isPartOf제어로봇시스템학회 (ICROS 2022) 논문집-
dc.title육상에서의 환경 구성을 통한 광학 카메라 및 소나 센서 모델 기반 고신뢰도 수중 소나 이미지 생성 기법-
dc.title.alternativeUnderwater Sonar Image Generation Method from Terrestrial Scene utilizing Optic and Sonar Sensor Models-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation제37회 제어로봇시스템학회 학술대회 (ICROS 2022), pp.306 - 307-
dc.citation.conferenceDate2022-06-22-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace소노캄 거제-
dc.citation.endPage307-
dc.citation.startPage306-
dc.citation.title제37회 제어로봇시스템학회 학술대회 (ICROS 2022)-
dc.contributor.affiliatedAuthorYU, SON-CHEOL-
dc.contributor.affiliatedAuthorSUNG, MINSUNG-
dc.description.journalClass2-
dc.description.journalClass2-

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유선철YU, SON-CHEOL
Div. of Advanced Nuclear Enginrg
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