@Article{ArnauRamisa2012,
author="Arnau Ramisa
and David Aldavert
and Shrihari Vasudevan
and Ricardo Toledo
and Ramon Lopez de Mantaras",
title="Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot",
journal="Journal of Intelligent and Robotic Systems",
year="2012",
publisher="Springer Netherlands",
volume="68",
number="2",
pages="185--208",
abstract="This paper addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key capability in order to make robots suitable to perform complex tasks in home environments. However, finding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera with tight time constraints. The paper brings to attention some of the issues with applying three state of the art object recognition and detection methods in a mobile robotics scenario, and proposes methods to deal with windowing/segmentation. Thus, this work aims at evaluating the state-of-the-art in object perception in an attempt to develop a lightweight solution for mobile robotics use/research in typical indoor settings.",
optnote="ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2150), last updated on Thu, 13 Mar 2014 13:24:03 +0100",
issn="0921-0296",
doi="10.1007/s10846-012-9675-8"
}