Comparative study between computer vision methods for the estimation and detection of the roadway

Autonomous driving is a field of study that is progressing rapidly to ensure road safety. Recently, researchers have been particularly interested in the detection of the roadway. Several new approaches have been proposed in the last decade. In this paper, we present a comparative study of roadway detection methods using three algorithms. The one is based on HOUGH transform, the second on the RANSAC algorithm and the third on the RADON transform. The objective of this paper is to make a comparison of these method in order to robust estimation methods in computer vision and to apply the method of RADON for the detection of the roadway.