Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이충희 | ko |
dc.contributor.author | 임영철 | ko |
dc.contributor.author | 권순 | ko |
dc.contributor.author | 김종환 | ko |
dc.date.accessioned | 2018-06-01T03:59:01Z | - |
dc.date.available | 2018-06-01T03:59:01Z | - |
dc.date.created | 2018-03-29 | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | 정보처리학회논문지, v.18, no.5, pp.255 - 264 | - |
dc.identifier.issn | 1598-284X | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/6497 | - |
dc.description.abstract | In this paper, we propose a forward vehicle detection algorithm using column detection and bird's-eye view mapping based on stereo vision. The algorithm can detect forward vehicles robustly in real complex traffic situations. The algorithm consists of the three steps,namely road feature-based column detection, bird's-eye view mapping-based obstacle segmentation, obstacle area remerging and vehicle verification. First, we extract a road feature using maximum frequent values in v-disparity map. And we perform a column detection using the road feature as a new criterion. The road feature is more appropriate criterion than the median value because it is not affected by a road traffic situation, for example the changing of obstacle size or the number of obstacles. But there are still multiple obstacles in the obstacle areas. Thus, we perform a bird's-eye view mapping-based obstacle segmentation to divide obstacle accurately. We can segment obstacle easily because a bird's-eye view mapping can represent the position of obstacle on planar plane using depth map and camera information. Additionally, we perform obstacle area remerging processing because a segmented obstacle area may be same obstacle. Finally, we verify the obstacles whether those are vehicles or not using a depth map and gray image. We conduct experiments to prove the vehicle detection performance by applying our algorithm to real complex traffic situations. |
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dc.language | Korean | - |
dc.publisher | 한국정보처리학회 | - |
dc.subject | 스테레오 비전 | - |
dc.subject | 차량 검출 | - |
dc.subject | 컬럼 검출 | - |
dc.subject | 조감도 | - |
dc.subject | 장애물체 세그멘테이션 | - |
dc.title | 스테레오 비전기반의 컬럼 검출과 조감도 맵핑을 이용한 전방 차량 검출 알고리즘 | - |
dc.title.alternative | Forward Vehicle Detection Algorithm Using Column Detection and Bird's-Eye View Mapping Based on Stereo Vision | - |
dc.type | Article | - |
dc.identifier.doi | 10.3745/KIPSTB.2011.18B.5.255 | - |
dc.type.local | Article(Domestic) | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.kciid | ART001601664 | - |
dc.identifier.citationVolume | 18 | - |
dc.identifier.citationNumber | 5 | - |
dc.identifier.citationStartPage | 255 | - |
dc.identifier.citationEndPage | 264 | - |
dc.identifier.citationTitle | 정보처리학회논문지 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | 이충희 | - |
dc.contributor.affiliatedAuthor | 임영철 | - |
dc.contributor.affiliatedAuthor | 권순 | - |
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