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칼만 필터 기반 차량 주행 경로 예측

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dc.contributor.author이성구-
dc.contributor.author강창묵-
dc.contributor.author김원희-
dc.contributor.author손영섭-
dc.contributor.author이승희-
dc.contributor.author정정주-
dc.date.accessioned2022-07-15T20:08:27Z-
dc.date.available2022-07-15T20:08:27Z-
dc.date.created2021-05-14-
dc.date.issued2015-11-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155815-
dc.description.abstractIn this paper, we propose a vehicle trajectory prediction based on kalman filter. Therefore, this paper presents a state space and kalman filter for obtaining yaw angular acceleration. Also, we propose new method using both yaw rate and yaw angular acceleration to precisely predict vehicle trajectory. We validated the new method via experimental results with a test vehicle on highway system for the practicality.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.title칼만 필터 기반 차량 주행 경로 예측-
dc.title.alternativeVehicle Trajectory Prediction Based on Kalman Filter-
dc.typeArticle-
dc.contributor.affiliatedAuthor정정주-
dc.identifier.bibliographicCitation2015 한국자동차공학회 학술대회 및 전시회, pp.665 - 666-
dc.relation.isPartOf2015 한국자동차공학회 학술대회 및 전시회-
dc.citation.title2015 한국자동차공학회 학술대회 및 전시회-
dc.citation.startPage665-
dc.citation.endPage666-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorVehicle trajectory prediction (차량 주행경로 예측)-
dc.subject.keywordAuthorKalman filter (칼만 필터)-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07124545-
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서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

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