Road Lane Detection with Gabor Filters

Abstract

For intelligent vehicle systems, lane detection is still a challenging task because it must cope with various road environments. In this paper, we propose a reliable method with Gabor filters. The proposed approach consists of two step. In the first step, the vanishing-point locations is estimated by the texture feature based method. The key attributes of this method consist of the dominant texture orientations, the vanishing-point candidates' vote weighting based on its dominant orientation, and a soft voting scheme. In the second step, the road lane ahead of the vehicle is detected by edge detection, and the vanishing-point is used to constrain a search for the lane mark. This method is insensitive to variations of road condition and illuminations.