Tom Duckett and Ulrich Nehmzow

Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots

Proc. AAAI-2000, Seventeenth Nat. Conf. on Artificial Intelligence



Abstract

Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external environmental features or landmarks to localise itself. A key question is how to evaluate landmark recognition systems for mobile robots. This paper answers this question by means of quantitative performance measures. An empirical study is presented in which a number of algorithms are compared in four environments. The results of this analysis are then applied to the development of a novel landmark recognition system for a Nomad 200 robot. Subsequent experiments demonstrate that the new system obtains a similar level of performance to the best alternative method, but at a much lower computational cost.

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Bibtex

@INPROCEEDINGS{DuckettAAAI00,
 AUTHOR = "Tom {Duckett} and Ulrich {Nehmzow}",
 TITLE = "Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots",
 BOOKTITLE = "Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI'2000)",
 ADDRESS = "Austin, Texas",
 YEAR = 2000
}