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Acoustic 센서를 통한 노면의 종류와 상태 판단

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dc.contributor.author김진성-
dc.contributor.author김대정-
dc.contributor.author정정주-
dc.date.accessioned2021-08-06T04:30:04Z-
dc.date.available2021-08-06T04:30:04Z-
dc.date.created2021-08-06-
dc.date.issued2019-05-10-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/84702-
dc.description.abstractIt is important to distinguish the type and condition of the road from the viewpoint of safe driving. Environmental sensors are needed to distinguish them. Acoustic sensor can distinguish the road surface using the sound of tire/road. In this paper, we analyze the sound of tire/road using Fast Fourier Transform(FFT). Based on the analyzed data, we distinguish the roads using multi-class Support Vector Machine(SVM). The proposed algorithm is verified through experiments using a test vehicle.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.titleAcoustic 센서를 통한 노면의 종류와 상태 판단-
dc.typeConference-
dc.contributor.affiliatedAuthor정정주-
dc.identifier.bibliographicCitation2019 한국자동차공학회 춘계학술대회, pp.690 - 694-
dc.relation.isPartOf2019 한국자동차공학회 춘계학술대회-
dc.relation.isPartOf2019 한국자동차공학회 춘계학술대회-
dc.citation.title2019 한국자동차공학회 춘계학술대회-
dc.citation.startPage690-
dc.citation.endPage694-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace라마다 프라자 제주-
dc.citation.conferenceDate2019-05-09-
dc.type.rimsCONF-
dc.description.journalClass2-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08747842-
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서울 공과대학 > 서울 전기공학전공 > 2. Conference Papers

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