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Chapter

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Title

Merging probabilistic and fuzzy frameworks for uncertain spatial knowledge modelling

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2005

Chapter type

paper

Publication language

english

Abstract

EN 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.

Pages (from - to)

435 - 442

DOI

10.1007/3-540-32390-2_51

URL

https://link.springer.com/chapter/10.1007/3-540-32390-2_51

Book

Computer Recognition Systems: Proceedings of 4th International Conference on Computer Recognition Systems CORES'05

Presented on

4th International Conference on Computer Recognition Systems, CORES'05, 22-25.05.2005, Rydzyna, Poland

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