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Probabilistic localization and mapping for mobile robots

: Emter, T.

Postprint urn:nbn:de:0011-n-1569299 (4.8 MByte PDF)
MD5 Fingerprint: 09a5b1053bc32f44a386818e2a03f14f
Erstellt am: 31.3.2011

Beyerer, J.; Huber, M.:
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2010. Proceedings : Was held in La Bresse, France, from July 19 to July 23, 2010
Karlsruhe: KIT Scientific Publishing, 2011 (Karlsruher Schriften zur Anthropomatik 7)
ISBN: 978-3-86644-609-0
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2010, La Bresse>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

The ability of a mobile robot to localize itself in the environment is a prerequisite for autonomous navigation.This is accomplished by using different sensors. Unfortunately all sensors' measurements are noisy and suffer from errors. Thus it is essential to combine several sensors to reduce the errors and also compensate for the shortcomings of individual sensors by means of multi-sensor fusion and simultaneous localization and mapping (SLAM).