Study on Effective Lane Detection Using Hough Transform and Lane Model

허프변환과 차선모델을 이용한 효과적인 차선검출에 관한 연구

  • 김기석 (한국기술교육대학교 인터넷미디어공학부) ;
  • 이진욱 (한국기술교육대학교 인터넷미디어공학부) ;
  • 조재수 (한국기술교육대학교 인터넷미디어공학부)
  • Published : 2009.05.07

Abstract

This paper proposes an effective lane detection algorithm using hugh transform and lane model. The proposed lane detection algorithm includes two major components, i.e., lane marks segmentation and an exact lane extraction using a novel postprocessing technique. The first step is to segment lane marks from background images using HSV color model. Then, a novel postprocessing is used to detect an exact lane using Hugh transform and lane models(linear and curved lane models). The postprocessing consists of three parts, i.e, thinning process, Hugh Transform and filtering process. We divide input image into three regions of interests(ROIs). Based on lane curve function(LCF), we can detect an exact lane from various extracted lane lines. The lane models(linear and curved lane mode]) are used in order to judge whether each lane segment is fit or not in each ROIs. Experimental results show that the proposed scheme is very effective in lane detection.

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