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Author Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramon Lopez de Mantaras
Title Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot Type Journal Article
Year 2012 Publication Journal of Intelligent and Robotic Systems Abbreviated Journal JIRC
Volume 68 Issue 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.
Corporate Author Thesis
Publisher Springer Netherlands Place of Publication Editor
Language Summary Language Original Title
Series Editor (down) Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0921-0296 ISBN Medium
Area Expedition Conference
Notes ADAS Approved no
Call Number Admin @ si @ RAV2012 Serial 2150
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