Paper Info
Title
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
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.
Year
DOI
Venue
2012
10.1007/s10846-012-9675-8
Clinical Orthopaedics and Related Research
Keywords
DocType
Volume
Mobile robots,Object recognition,68T40,68T45,68T10
Journal
68
Issue
ISSN
Citations 
2
0921-0296
7
PageRank 
References 
Authors
0.57
28
5
Name
Order
Citations
PageRank
Arnau Ramisa118717.78
David Aldavert217711.14
Shrihari Vasudevan323414.62
Ricardo Toledo430722.44
Ramon Lopez de Mantaras570652.40