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 | 이종훈 | ko |
dc.date.accessioned | 2018-02-05T04:13:50Z | - |
dc.date.available | 2018-02-05T04:13:50Z | - |
dc.date.created | 2018-01-17 | - |
dc.date.issued | 2010-11 | - |
dc.identifier.citation | 전자공학회논문지 - SC, v.47, no.6, pp.86 - 96 | - |
dc.identifier.issn | 1229-6392 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/5697 | - |
dc.description.abstract | In this paper, we propose stereo vision-based obstacle detection and vehicle verification methods using U-disparity map and bird's-eye view mapping. First, we extract a road feature using maximum frequent values in each row and column. And we extract obstacle areas on the road using the extracted road feature. To extract obstacle areas exactly we utilize U-disparity map. We can extract obstacle areas exactly on the U-disparity map using threshold value which consists of disparity value and camera parameter. But there are still multiple obstacles in the extracted obstacle areas. Thus, we perform another processing, namely segmentation. We convert the extracted obstacle areas into a bird's-eye view using camera modeling and parameters. We can segment obstacle areas on the bird's-eye view robustly because obstacles are represented on it according to ranges. Finally, we verify the obstacles whether those are vehicles or not using various vehicle features, namely road contacting, constant horizontal length, aspect ratio and texture information. We conduct experiments to prove the performance of our proposed algorithms in real traffic situations. |
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dc.language | Korean | - |
dc.publisher | 대한전자공학회 | - |
dc.subject | Stereo vision | - |
dc.subject | Obstacle detection | - |
dc.subject | Vehicle verification | - |
dc.subject | U-disparity | - |
dc.subject | Bird&apos | - |
dc.subject | s-eye view | - |
dc.title | U-시차맵과 조감도를 이용한 스테레오 비전 기반의 장애물체 검출 및 차량 검증 방법 | - |
dc.title.alternative | Stereo Vision-Based Obstacle Detection and Vehicle Verification Methods Using U-Disparity Map and Bird's-Eye View Mapping | - |
dc.type | Article | - |
dc.type.local | Article(Domestic) | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.kciid | ART001495156 | - |
dc.identifier.citationVolume | 47 | - |
dc.identifier.citationNumber | 6 | - |
dc.identifier.citationStartPage | 86 | - |
dc.identifier.citationEndPage | 96 | - |
dc.identifier.citationTitle | 전자공학회논문지 - SC | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | 이충희 | - |
dc.contributor.affiliatedAuthor | 임영철 | - |
dc.contributor.affiliatedAuthor | 권순 | - |
dc.contributor.affiliatedAuthor | 이종훈 | - |
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