Journal of Intelligent & Robotic Systems

, Volume 68, Issue 2, pp 185–208

Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot

Authors

    • IRI UPC-CSIC
  • David Aldavert
    • Computer Vision Center, Dept. Ciències de la ComputacióUniversitat Autònoma de Barcelona
  • Shrihari Vasudevan
    • Australian Center for Field RoboticsThe University of Sydney
  • Ricardo Toledo
    • Computer Vision Center, Dept. Ciències de la ComputacióUniversitat Autònoma de Barcelona
  • Ramon Lopez de Mantaras
    • IIIA-CSIC
Article

DOI: 10.1007/s10846-012-9675-8

Cite this article as:
Ramisa, A., Aldavert, D., Vasudevan, S. et al. J Intell Robot Syst (2012) 68: 185. doi:10.1007/s10846-012-9675-8

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.

Keywords

Mobile robotsObject recognition

Mathematics Subject Classifications (2010)

68T4068T4568T10
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Copyright information

© Springer Science+Business Media B.V. 2012