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dc.contributor.author박용완ko
dc.contributor.author강민성ko
dc.contributor.author박익현ko
dc.contributor.author허수정[허수정]ko
dc.date.accessioned2015-12-17T03:59:24Z-
dc.date.available2015-12-17T03:59:24Z-
dc.date.created2015-11-29-
dc.date.issued201409-
dc.identifier.citation한국자동차공학회 논문집, v.22, no.6, pp.14 - 22-
dc.identifier.issn1225-6382-
dc.identifier.urihttp://hdl.handle.net/YU.REPOSITORY/30777-
dc.identifier.urihttp://dx.doi.org/10.7467/KSAE.2014.22.6.014-
dc.description.abstractAn autonomous vehicle requires a technology of generating maps by recognizing surrounding environment. The recognition of the vehicle's environment can be achieved by using distance information from a 2D laser scannerand color information from a camera. Such sensor information is used to generate 2D or 3D maps. A 2D map is usedmostly for generating routs, because it contains information only about a section. In contrast, a 3D map involves heightvalues also, and therefore can be used not only for generating routs but also for finding out vehicle accessible space. Nevertheless, an autonomous vehicle using 3D maps has difficulty in recognizing environment in real time. Accordingly,this paper proposes the technology for generating 2D maps that guarantee real-time recognition. The proposedtechnology uses only the color information obtained by removing height values from 3D maps generated based on thefusion of 2D laser scanner and camera data.-
dc.publisher한국자동차공학회-
dc.subjectMap building(맵 생성)-
dc.subjectAutonomous vehicle(자율주행 자동차)-
dc.subject2D laser scanner(2차원 레이저 스캐너)-
dc.subjectCamera(카메라)-
dc.subjectSensor fusion(센서 융합)-
dc.subjectOccupancy grid map(점유 격자 지도)-
dc.title자율주행을 위한 센서 데이터 융합 기반의 맵 생성-
dc.title.alternativeMap Building Based on Sensor Fusion for Autonomous Vehicle-
dc.typeArticle-
dc.identifier.kciidART001900922-
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