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Semi-autonomous Indoor Positioning Using MEMS-based Inertial Measurement Units and Building Information
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Semi-autonomous Indoor Positioning Using MEMS-based Inertial Measurement Units and Building Information
1.
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 • Integration of IMU data and building data – foot-mounted IMU – disturbances of the earth’s magnetic field – extended Kalman filter (EKF) – stabilizes the inside buildings → errors of position measurements of the IMU’s orientation – movement recognition – characteristic building information extracted – zero velocity updates (ZUPTs) from databases of Computer Aided Facility – numerical double integration → distances Management (CAFM)-systems – Building Information Model (BIM) WPNC'09 - Poster Teaser - © Gerald Glanzer
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