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Illumination Insensitive Robot Self-Localization Using Panoramic Eigenspaces

  • Gerald Steinbauer
  • Horst Bischof
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3276)

Abstract

We propose to use a robust method for appearance-based matching that has been shown to be insensitive to illumination and occlusion for robot self-localization. The drawback of this method is that it relies on panoramic images taken in one certain orientation, restricts the heading of the robot throughout navigation or needs additional sensors for orientation, e.g. a compass. To avoid these problems we propose a combination of the appearance-based method with odometry data. We demonstrate the robustness of the proposed self-localization against changes in illumination by experimental results obtained in the RoboCup Middle-Size scenario.

Keywords

Mobile Robot Reference Image Reference Location Sensor Fusion Panoramic Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gerald Steinbauer
    • 1
  • Horst Bischof
    • 2
  1. 1.Institute for Software TechnologyGraz University of TechnologyGrazAustria
  2. 2.Institute for Computer Graphics and VisionGraz University of TechnologyGrazAustria

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