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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336399