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GPS와 차량 내부 정보를 이용한 적응 차량위치 추정 알고리즘

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dc.contributor.author양정근-
dc.contributor.author이재환-
dc.contributor.author김창섭-
dc.contributor.author허건수-
dc.date.accessioned2022-07-15T22:48:22Z-
dc.date.available2022-07-15T22:48:22Z-
dc.date.created2021-05-14-
dc.date.issued2015-05-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157196-
dc.description.abstractRecently, researches on autonomous driving vehicle ad advanced driver assistance system (ADAS) are very active and it is obvious that the knowledge of accurate vehicle position is extremely valuable for these researches. This paper presents a position estimation algorithm for vehicle based on the integration of Global Positioning System (GPS) and In-Vehicle sensors. The aim of this paper is to achieve more accurate position of the vehicle by eliminating the unexpected GPS signal error resulted from overpass and multipath. In order to eliminate the inaccurate GPS signal, the status of GPS link is considered and also additional filtering algorithm is designed. The performance of the proposed algorithm has been evaluated by the vehicle experiment.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.titleGPS와 차량 내부 정보를 이용한 적응 차량위치 추정 알고리즘-
dc.title.alternativeAn Adaptive Estimation Algorithm for Vehicle Positioning Based on GPS and In-Vehicle Sensors-
dc.typeArticle-
dc.contributor.affiliatedAuthor허건수-
dc.identifier.bibliographicCitation한국자동차공학회 부문종합 학술대회 논문집, pp.1 - 3-
dc.relation.isPartOf한국자동차공학회 부문종합 학술대회 논문집-
dc.citation.title한국자동차공학회 부문종합 학술대회 논문집-
dc.citation.startPage1-
dc.citation.endPage3-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorPosition Estimation(위치 추정)-
dc.subject.keywordAuthorExtended Kalman Filter(확장 칼만 필터)-
dc.subject.keywordAuthorOutlier Filter(아웃라이어 필터)-
dc.subject.keywordAuthorGlobal Positioning System(위성항법 시스템)-
dc.subject.keywordAuthorIn-Vehicle Sensor(차량내부 센서)-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06367222-
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