DocumentCode
3466021
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
fYear
2004
fDate
14-17 June 2004
Firstpage
298
Lastpage
303
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN
0-7803-8310-9
Type
conf
DOI
10.1109/IVS.2004.1336398
Filename
1336398
Link To Document