Abstract
The issues of spatial knowledge representation for mobile robots are considered. Two types of maps, grid and feature based, and two uncertainty representations, probabilistic and fuzzy are merged in one framework to obtain accurate and consistent geometric maps of the environment from range sensor readings.
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© 2005 Springer-Verlag Berlin Heidelberg
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Skrzypczyński, P. (2005). Merging Probabilistic and Fuzzy Frameworks for Uncertain Spatial Knowledge Modelling. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_51
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DOI: https://doi.org/10.1007/3-540-32390-2_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
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