Title :
Extracting road features from color images using a cognitive approach
Author :
Rotaru, Calin ; Graf, Thorsten ; Zhang, Jianwei
Author_Institution :
Group Res. Electron., Volkswagen AG, Wolfsburg, Germany
Abstract :
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.
Keywords :
computer vision; driver information systems; feature extraction; image colour analysis; roads; broken lane markings; cognitive method; continuous lane markings; driver assistance systems; lane departure warning; machine vision; mono color images; road extents; road feature extraction; road information; traffic lanes; Automotive engineering; Color; Data mining; Feature extraction; Image edge detection; Image segmentation; Machine vision; Roads; Testing; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336398
