Abstract— In intelligent transportation systems, intelligent vehicle cooperate with smart infrastructure to achieve a safer environment and better traffic conditions. After analyzing the major causes of injuries and death on roads, it is understandable that one of the main goals in the automotive industry is to increase vehicle safety. In recent development, one of the most frequently implemented solutions for road recognition is the use of camera based systems. Aim of this paper is to integrate cameras in automotive vehicles to increase security and prevent driver's mistakes. In this paper a definition of lane is proposed, and a lane detection algorithm is presented. So far the influence of noise in industrial applications, have been neglected and hence in this paper noise reduction techniques are used i.e. filtering techniques (median and wiener filter). Performance of algorithm is judged in terms of comparative study of median and wiener filters.

Index Terms—lane detection, median filter, wiener filter, edge detection, integrated hough transform.

Cite: Sukriti Srivastava, Manisha Lumb, and Ritika Singal, "Lane Detection Using Median Filter, Wiener Filter and Integrated Hough Transform," Jounal of Automation and Control Engineering, Vol. 3, No. 3, pp. 258-264, June, 2015. doi: 10.12720/joace.3.3.258-264