@InProceedings{AngelSappa2006,
author="Angel Sappa
and David Geronimo
and Fadi Dornaika
and Antonio Lopez",
title="Real Time Vehicle Pose Using On-Board Stereo Vision System",
booktitle="International Conference on Image Analysis and Recognition",
year="2006",
number="LNCS 4142",
pages="205--216",
abstract="This paper presents a robust technique for a real time estimation of both camera{\textquoteright}s position and orientation---referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,relative camera{\textquoteright}s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented.",
optnote="ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=671), last updated on Thu, 10 Oct 2013 15:14:34 +0200",
opturl="http://www.cvc.uab.es/adas/publications/sappa_iciar2006.pdf",
file=":http://refbase.cvc.uab.es/files/SGD2006b.pdf:PDF"
}