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Low cost inertial orientation tracking with Kalman filter

: Haid, M.; Breitenbach, J.


Applied mathematics and computation 153 (2004), Nr.2, S.567-575
ISSN: 0096-3003
Fraunhofer TEG ()
Kalman-Filter; tracking; Navigation; Sensor; Kosten; Messen

In this paper the theory of estimation will be examined and applied to inertial measurement units (IMUs). IMUs sense the motion of an object without any contact. The sensors, that are used, are inertial sensors giving the IMU it's name. It will be considered, how the theory of estimation can copensate the problems with the sensor drift. The application of the theory of estimation is obvious, because the central aim of the theory of estimation is the extraction of information based on instable and deranged measured values.