A Fast and Robust Approach to Lane Marking Detection and Lane Tracking

Authors:
Christian Lipski;Bjorn Scholz;Kai Berger;Christian Linz;Timo Stich;Marcus Magnor
Affiliations:
Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, lipski@cg.tu-bs.de;Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, scholz@cg.tu-bs.de;Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, berger@cg.tu-bs.de;Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, linz@cg.tu-bs.de;Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, stich@cg.tu-bs.de;Computer Graphics Lab, TU Braunschweig, Mühlenpfordtstrasse 23, 38106 Braunschweig, Germany, magnor@cg.tu-bs.de
Venue:
SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
Year:
2008

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Abstract

There is a need to develop automated methods to analyze images. A method that relies on the Helmholtz principle to discover edge features that is weakly dependent on the parameters is presented. An application of the Helmholtz principle requires a method ...