Improved Detection and Tracking of Lane Marking Using Hough Transform

Autonomous driver assistance system is a core component for the robust detection and tracking of lane markings on roads and pedestrian detection. The lane detection method is a major component of intelligent transport system. Lane detection helps to estimate the road geometry ahead as well as lateral position of vehicle. A fast lane detection algorithm is proposed by Hough transform which is faster as compared with training and testing model based on pixel hierarchy descriptor. The right and left lane markings are marked by different lines. When the vehicle departs from one lane to another, the color of the lane detection system will change accordingly. The proposed algorithm partitions the camera captured image into two parts, lower and higher part and tries to detect the lane separately. The pedestrian detection is done by Histograms of oriented gradients and this system exhibits high accuracy. Keywords— Lane markings, Hough Transform, 2D filter, Pedestrian detection