Abstract
In this article we present a case-based approach for the selflocalization of autonomous robots based on local visual information of landmarks. The goal is to determine the position and the orientation of the robot sufficiently enough, despite some strongly incorrect visual information. Our approach to solve this problem makes use of case-based reasoning methods.
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© 2001 Springer-Verlag Berlin Heidelberg
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Wendler, J., Brüggert, S., Burkhard, HD., Myritz, H. (2001). Fault-tolerant self localization by case-based reasoning. In: Stone, P., Balch, T., Kraetzschmar, G. (eds) RoboCup 2000: Robot Soccer World Cup IV. RoboCup 2000. Lecture Notes in Computer Science(), vol 2019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45324-5_24
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DOI: https://doi.org/10.1007/3-540-45324-5_24
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