Repository at Hanyang UniversityCOLLEGE OF ENGINEERING[S](공과대학)ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부)Articles
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dc.contributor.author정정주-
dc.date.accessioned2018-04-18T01:59:10Z-
dc.date.available2018-04-18T01:59:10Z-
dc.date.issued2016-05-
dc.identifier.citation2016 한국자동차공학회 춘계학술대회, Page. 1081-1084en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE07124171-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/68071-
dc.description.abstractIn this paper, we proposes closest in path vehicle detection method using support vector machine to improve the performance of adaptive cruise control. Rapid acceleration and deceleration can be prevented with object vehicle driving path prediction. The performance was validated via experimental results.en_US
dc.language.isoko_KRen_US
dc.publisher한국자동차공학회en_US
dc.subject차간 거리 제어en_US
dc.subject서포트 벡터 머신en_US
dc.subject주행 경로 예측en_US
dc.subject주변 차량en_US
dc.subject머신 러닝en_US
dc.subjectAdaptive Cruise Controlen_US
dc.subjectSupport Vector Machineen_US
dc.subjectDriving Path Predictionen_US
dc.subjectObject Vehicleen_US
dc.subjectMachine learningen_US
dc.titleSVM을 이용한 차량 주행 경로 예측en_US
dc.title.alternativeObject Vehicle Driving Path Prediction using Support Vector Machineen_US
dc.typeArticleen_US
dc.relation.page1081-1082-
dc.contributor.googleauthor김대정-
dc.contributor.googleauthor강창묵-
dc.contributor.googleauthor정정주-
dc.contributor.googleauthorKim, Dae Jung-
dc.contributor.googleauthorKang, Chang Mook-
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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