@article{ref1,
title="Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis",
journal="IEEE transactions on image processing",
year="2006",
author="Toulminet, Gwenaelle and Bertozzi, Massimo and Mousset, Stephane and Bensrhair, Abdelaziz and Broggi, Alberto",
volume="15",
number="8",
pages="2364-2375",
abstract="This paper presents a stereo vision system for the detection and distance computation of a preceding vehicle. It is divided in two major steps. Initially, a stereo vision-based algorithm is used to extract relevant three-dimensional (3-D) features in the scene, these features are investigated further in order to select the ones that belong to vertical objects only and not to the road or background. These 3-D vertical features are then used as a starting point for preceding vehicle detection; by using a symmetry operator, a match against a simplified model of a rear vehicle's shape is performed using a monocular vision-based approach that allows the identification of a preceding vehicle. In addition, using the 3-D information previously extracted, an accurate distance computation is performed.<p /> <p>Language: en</p>",
language="en",
issn="1057-7149",
doi="",
url="http://dx.doi.org/"
}