전방 추돌 경보 시스템을 위한 비전 기반 차량 검출 방법
- Title
- 전방 추돌 경보 시스템을 위한 비전 기반 차량 검출 방법
- Other Titles
- Vision-based Vehicle Detection for Forward Collision Warning system
- Author
- 김회율
- Keywords
- 차량 검출; 전방 추돌 경고; 거설 검증; 아다부스트; 군집화; 그래디언트 히스토그램; vehicle detection; forward collision warning; hypothesis test; AdaBoost; clustering; histogram of gradient
- Issue Date
- 2011-11
- Publisher
- 한국자동차공학회 / The Korean Society Of Automotive Engineers
- Citation
- 한국자동차공학회 학술대회 및 전시회,Vol.2011 No.11 [2011],1314-1317(4쪽)
- Abstract
- We present a novel vehicle detection method for forward collision warning system using a single camera. For real-time vehicle detection, the proposed method consists of two steps: hypothesis generation where the locations of possible vehicles in an image are hypothesized and hypothesis verification where tests are performed to verify the presence of vehicles in an image. In hypothesis generation step, we extract quickly candidate regions of possible vehicles using a combined feature of edges, intensity, and geometric information. Then, extracted candidate regions are determined whether vehicle or non-vehicle in hypothesis verification step. In hypothesis verification step, we use our novel AdaBoost classifier with clustering to classify vehicles which have various appearances, and also multi-frame information to remove false positive detections.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE01762391http://hdl.handle.net/20.500.11754/57624
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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