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Comparison of inertial mechanization approaches for inertial aided monocular EKF-SLAM

: Kleinert, Markus; Ascher, Christian; Stilla, Uwe

Preprint urn:nbn:de:0011-n-2212706 (715 KByte PDF)
MD5 Fingerprint: 087395283f10bcd53d18897b9fb6b592
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Erstellt am: 5.12.2012

Institute of Electrical and Electronics Engineers -IEEE-:
Fusion 2012, 15th International Conference on Information Fusion : 09.-15. July 2012, Singapore
New York, NY: IEEE, 2012
ISBN: 978-1-4673-0417-7 (Print)
ISBN: 978-0-9824438-4-2 (Online)
ISBN: 978-0-9824438-5-9
International Conference on Information Fusion (FUSION) <15, 2012, Singapore>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Localization of pedestrians becomes a difficult task in situations where no measurements with respect to an established reference system, as it is provided by satellites when using GPS, are available. One possible approach to tackle this problem is to attach a suitable sensor to pedestrians and then to run a simultaneous localization and mapping (SLAM) algorithm in order to localize the sensor. A combination of an inertial measurement unit (IMU) with a monocular camera is a promising choice of sensors for an indoor pedestrian localization system since these sensors provide complementary measurements. This paper discusses two approaches to integrate visual and inertial information which differ mainly in the choice of reference coordinate system. A detailed description of both approaches is given and they are compared with respect to their performance on simulated and real measurement data.