Neural robot detection in robocup

Authors:
Gerd Mayer;Ulrich Kaufmann;Gerhard Kraetzschmar;Günther Palm
Affiliations:
Department of Neural Information Processing, University of Ulm, Ulm, Germany;Department of Neural Information Processing, University of Ulm, Ulm, Germany;Department of Neural Information Processing, University of Ulm, Ulm, Germany;Department of Neural Information Processing, University of Ulm, Ulm, Germany
Venue:
Biomimetic Neural Learning for Intelligent Robots
Year:
2005

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Abstract

Improving the game play in RoboCup middle size league requires a very robust visual opponent and teammate detection system. Because RoboCup games are highly dynamic, the detection system also has to be very fast. That both conditions are not necessarily contradictory is shown in this paper. The described multilevel approach documents, that the combination of a simple color based attention control and a subsequent neural object classification can be applied successfully in real world scenarios. The presented results indicate a very good overall performance regarding robustness, flexibility and computational needs.