%0 Conference Proceedings
%T Evaluating Color Representation for Online Road Detection
%A Jose Manuel Alvarez
%A Theo Gevers
%A Antonio Lopez
%B ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars
%D 2013
%F Jose Manuel Alvarez2013
%O ADAS;ISE
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2794), last updated on Thu, 08 Sep 2016 18:52:43 +0200
%X Detecting traversable road areas ahead a moving vehicle is a key process for modern autonomous driving systems. Most existing algorithms use color to classify pixels as road or background. These algorithms reduce the effect of lighting  variations and weather conditions by exploiting the discriminant/invariant properties of different color representations. However, up to date, no comparison between these representations have been conducted. Therefore, in this paper, we perform an evaluation of existing color representations for road detection. More specifically, we focus on color planes derived from RGB data and their most com-mon combinations. The evaluation is done on a set of 7000 road images acquiredusing an on-board camera in different real-driving situations.
%U http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W20/papers/Alvarez_Evaluating_Color_Representations_2013_ICCV_paper.pdf
%U http://dx.doi.org/10.1109/ICCVW.2013.82
%P 594-595