DocumentCode
3466037
Title
Detecting reflection posts - lane recognition on country roads
Author
Von Trzebiatowski, Michael Smuda ; Gern, A. ; Franke, Uwe ; Kaeppeler, Uwe-Philipp ; Levi, Paul
Author_Institution
DaimlerChrysler Res., Stuttgart, Germany
fYear
2004
fDate
14-17 June 2004
Firstpage
304
Lastpage
309
Abstract
This paper presents a new approach to the challenging task of lane recognition on general roads. Lane recognition is the basis for many driver assistance systems, including lane departure warning and the assignment of vehicles to specific lanes. Most systems of the past are designed for the well defined highway scenario. They rely on white lane markings with known geometric appearance. Our method is an extension which also works when lane markings are in bad conditions or missing completely. We use reflection posts as a means of estimating the course of the road. In addition we are furthermore able to measure the horizontal and vertical slope of the road surface.
Keywords
computer vision; driver information systems; image recognition; roads; bad conditions; computer vision; country roads; driver assistance systems; horizontal slope; image recognition; lane departure warning; lane recognition; reflection post detection; road surface; vertical slope; white lane markings; Equations; Image analysis; Optical filters; Optical reflection; Optical sensors; Particle filters; Road transportation; Solid modeling; Surface texture; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN
0-7803-8310-9
Type
conf
DOI
10.1109/IVS.2004.1336399
Filename
1336399
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