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Probabilistic localization and mapping for mobile robots

 
: Emter, Thomas

Beyerer, J.; Huber, M.:
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2009. Proceedings : Held in La Bresse, France, on August 02-06, 2009
Karlsruhe: KIT Scientific Publishing, 2010 (Karlsruher Schriften zur Anthropomatik 4)
ISBN: 978-3-86644-469-0
S.95-110
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2009, La Bresse>
Englisch
Konferenzbeitrag
Fraunhofer IITB ( IOSB) ()

Abstract
The essential key capabilities for a mobile robot are to determine where it is located and gather an idea of its surroundings. For precise self localization several sensors are needed as due to noisy measurements no single sensor is sufficient. The data from the sensors is fused to a combined estimate resulting in a more accurate localization. As in most situations positioning sensors like odometry and GPS alone are still insufficient, for example in case of collision avoidance, it is preferable to incorporate exterozeptive sensors as well. Furthermore it is possible to use these sensors to localize the robot in a map. If a map of an area is unavailable, the robot has to build it while exploring the environment. This exploration and mapping is a very challenging problem because of noise in the sensor measurements and approaches to solve this so called simultaneous localization and mapping (SLAM) problem exist.

: http://publica.fraunhofer.de/dokumente/N-201373.html