Abstract
We present MUREA (MUlti-Resolution Evidence Accumulation): a mobile robot localization method for known 2D environments. It is an evidence accumulation method where the complexity is reduced by means of a multi-resolution scheme. The added value of the contribution, in the authors opinion, are 1) the method per sé; 2) the capability of the system to accept both raw sensor data as well as independently generated localization estimates; 3) the capability of the system to give out a (less) accurate estimate whenever asked to do so (e.g. before its regular completion), which could be called any-time localization.
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© 2003 Springer-Verlag Berlin Heidelberg
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Restelli, M., Sorrenti, D.G., Marchese, F.M. (2003). MUREA: A MUlti-Resolution Evidence Accumulation Method for Robot Localization in Known Environments. In: Kaminka, G.A., Lima, P.U., Rojas, R. (eds) RoboCup 2002: Robot Soccer World Cup VI. RoboCup 2002. Lecture Notes in Computer Science(), vol 2752. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45135-8_30
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DOI: https://doi.org/10.1007/978-3-540-45135-8_30
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