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dc.contributor.author정정주-
dc.date.accessioned2019-03-14T06:16:24Z-
dc.date.available2019-03-14T06:16:24Z-
dc.date.issued2016-11-
dc.identifier.citation2016년 한국자동차공학회 추계학술대회 및 전시회, Page. 297-300en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE07124981-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/100789-
dc.description.abstractIntelligent vehicle uses vision sensor to get road information for lane keeping control and adaptive cruise control of Autonomous driving vehicle control system. Such vision sensor has been known that it can provide poor detection performance due to unclear lane marks or obstacles. In this paper, we propose a virtual road model which uses Multi-vehicle information. The proposed model provided more improved performance than that considered in previous study which uses Ego-vehicle information. The performance of the proposed virtual road model is validated via experimental results.en_US
dc.language.isoko_KRen_US
dc.publisher한국자동차공학회en_US
dc.subject다중 차량en_US
dc.subject차선 인식en_US
dc.subject도로 모델en_US
dc.subjectMulti-Vehicleen_US
dc.subjectLane detectionen_US
dc.subjectRoad modelen_US
dc.title차선유지를 위한 다중차량 정보 기반의 가상도로 모델 생성en_US
dc.title.alternativeVirtual Road Model Generation based on Multi-Vehicle Information for Lane Keeping Systemen_US
dc.typeArticleen_US
dc.relation.page297-300-
dc.contributor.googleauthor이건일-
dc.contributor.googleauthor강창묵-
dc.contributor.googleauthor이승희-
dc.contributor.googleauthor정정주-
dc.contributor.googleauthorLee, Geon Il-
dc.contributor.googleauthorKang, Chang Mook-
dc.contributor.googleauthorLee, Seung-Hi-
dc.contributor.googleauthorChung, Chung Choo-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidcchung-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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