Road Singularities Detection and Classification
Alexandre Gomes Leitao, Sorin Tilie, Morgan Mangeas, P. Tarel, Vincent Vigneron, S. Lel · 2001
Abstract. We propose a detection and classification system for various road situations, which is robust to light changes and different road markings. The road curves in an image are described with a Hough Transform, where histograms accumulate the contrast lines for each pixel. The resulting 2D histograms are used to train a Kohonen Neural Network. The final output classification can be used to improve road security, indicating dangerous situations to the driver or feeding a driving control system. 1