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Publication type: Article in Proceedings
Author: Thomas Röfer, Tim Laue, Dirk Thomas
Editor: Ansgar Bredenfeld, Adam Jacoff, Itsuki Noda, Yasutake Takahashi
Title: Particle-filter-based self-localization using landmarks and directed lines
Book / Collection title: RoboCup 2005: Robot Soccer World Cup IX
Volume: 4020
Page(s): 608 – 615
Series: Lecture Notes in Artificial Intelligence
Year published: 2006
Publisher: Springer
Abstract: The paper presents the self-localization approach used by the World Champion in the Sony Four-Legged Robot League 2004. The method is based on a particle filter that makes use of different features from the environment (beacons, goals, field lines, field wall) that provide diffrent kinds of localization information and that are recognized with different frequencies. In addition, it is discussed how the vision system acquires these features, especially, how the orientation of field lines is determined at low computational costs.
PDF Version: http://www.informatik.uni-bremen.de/kogrob/papers/rc06-selfloc.pdf
Status: Reviewed
Last updated: 06. 11. 2013

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