정보처리학회논문지B (The KIPS Transactions:PartB)

한국정보처리학회 (Korea Information Processing Society)
권호 표지

전방의 차량포착을 위한 연속영상의 대상영역을 제한한 효율적인 차선 검출

Efficient Lane Detection for Preceding Vehicle Extraction by Limiting Search Area of Sequential Images

  • 한상훈 (동국대학교 대학원 컴퓨터공학과) ;
  • 조형제 (동국대학교 영상정보통신대학원 멀티미디어학과)
  • 발행 : 2001.01.01
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초록

이 논문에서는 카메라로 연속으로 촬영한 일련의 그레이레벨 영상으로부터 전방의 차량을 포착하기 위한 빠른 차선검출방법을 제안한다. 개별 영상에서 가려지지 않는 제한된 영역을 대상으로 차선의 위치를 검출하고, 에지 영상을 이용하여 차선의 기울기를 구한다. 이를 근거로 차량이 존재할 가능성이 있는 관심영역을 구하고 그 영역 내에서 에지 성분을 이용하여 구조적 방법으로 전방 차량의 위치를 포착한다. 제안된 방식의 효과를 검증하기 위해 노트북 PC와 PC용 CCD 카메라로 도로에서의 영상을 촬영하고 차선검출알고리즘을 적용한 처리 시간, 정확도, 차량검지 등의 결과를 보인다.

In this paper, we propose a rapid lane detection method to extract a preceding vehicle from sequential images captured by a single monocular CCD camera. We detect positions of lanes for an individual image within the limited area that would not be hidden and thereby compute the slopes of the detected lanes. Then we find a search area where vehicles would exist and extract the position of the preceding vehicle within the area with edge component by applying a structured method. To verify the effects of the proposed method, we capture the road images with a notebook PC and a CCD camera for PC and present the results such as processing time for lane detection, accuracy and vehicles detection against the images.

키워드

참고문헌

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