Performance Evaluation of Modified Hough Transformation for Lane Detection

among the various complex and challenging tasks of upcoming road vehicles, one is road detection or road boundaries detection. Many people die every year in roadway departure crashes caused by driver inattention in most of the cases. Lane detection systems are helpful in avoiding these accidents as safety is the major purpose of these systems. Such systems have the objective to detect the lane marks and to advise the driver in case the vehicle has a chance to depart from the lane. In this paper, after a brief overview of existing methods of lane detection and discovering their limitation of ineffective detection of curved roads, we present a novel lane colorization technique using modified hough transformation. The proposed technique can detect both the straight and curved roads very efficiently and enhance the results. Moreover, it also gives efficient results in sunny day, foggy day, and rainy day and at night time.