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Semi-autonomous Indoor Positioning Using MEMS-based InertialMeasurement Units and Building InformationGerald Glanzer, Thom...
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Semi-autonomous Indoor Positioning Using MEMS-based Inertial Measurement Units and Building Information

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WPNC'09 - Poster Teaser - © Gerald Glanzer

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Transcript of "Semi-autonomous Indoor Positioning Using MEMS-based Inertial Measurement Units and Building Information"

  1. 1. Semi-autonomous Indoor Positioning Using MEMS-based InertialMeasurement Units and Building InformationGerald Glanzer, Thomas Bernoulli, Thomas Wießflecker and Ulrich WalderInstitute 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) WPNC09 - Poster Teaser - © Gerald Glanzer
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