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Semi-autonomous Indoor Positioning Using MEMS ...

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Semi-autonomous Indoor Positioning Using MEMS-based Inertial. Measurement Units and Building Information. Gerald Glanzer, Thomas Bernoulli, Thomas ...
Semi-autonomous Indoor Positioning Using MEMS-based Inertial Measurement Units and Building Information Gerald Glanzer, Thomas Bernoulli, Thomas Wießflecker and Ulrich Walder Institute of Information Technology in Civil Engineering, Graz University of Technology •

Inertial Pedestrian Navigation – foot-mounted IMU – extended Kalman filter (EKF) – stabilizes the measurements of the IMU’s orientation – movement recognition – zero velocity updates (ZUPTs) – numerical double integration → distances



Integration of IMU data and building data – disturbances of the earth’s magnetic field inside buildings → errors of position – characteristic building information extracted from databases of Computer Aided Facility Management (CAFM)-systems – Building Information Model (BIM)

WPNC'09 - Poster Teaser - © Gerald Glanzer