A robust and real-time road line extraction algorithm using hough transform in intelligent transportation system application

Since lane information is needed for road security improvement in driver assistance system (DAS), first basic step for this system is extraction of road marking. This paper presents a method to detect and extract of road lines to use in intelligent transportation system (ITS). This method is based on Hough transform concluding of three main phase: preprocessing, segmentation, post processing. The advantage of this method is overcome of existence problems such as noise, clear of road marking. This algorithm is implemented on real road scenes in video sequences taken by stationary traffic cameras. Experimental results demonstrate high accuracy of proposed algorithm as compared with classic method.