Extracting road features from color images using a cognitive approach

This paper introduces a cognitive method for extracting significant road information (like road extents, lane markings) from mono-color images. The system is able to identify all traffic lanes and to distinguish between continuous and broken lane markings. Its output is useful in driver assistance systems (for example lane-departure warning). The cognitive aspects of the system are highlighted and the implemented algorithms are described. Finally, some results of the performed tests are introduced before drawing the conclusion.