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Global Pose Estimation using Multi-Sensor Fusion for Outdoor Augmented Reality

Authors Schall Gerhard, Wagner Daniel, Reitmayr Gerhard, Manfred Wieser, Elise Taichmann, Schmalstieg Dieter, Bernhard Hofmann-Wellenhof
Appeared in

Proceedings of Int. Symposium on Mixed and Augmented Reality 2009 (ISMAR“09)

Organization

IEEE

Date October 2009
Abstract

Outdoor Augmented Reality typically requires tracking in unprepared environments. For global registration, Global Positioning System (GPS) is currently the best sensing technology, but its precision and update rate are not sufficient for
high quality tracking. We present a system that uses Kalman filtering for fusion of Differential GPS (DGPS) or Real-Time
Kinematic (RTK) based GPS with barometric heights and also for an inertial measurement unit with gyroscopes, magnetometers and accelerometers to improve the transient oscillation. Typically, inertial sensors are subjected to drift and magnetometer
measurements are distorted by electro-magnetic fields in the environment. For compensation, we additionally apply a visual
orientation tracker which is drift-free through online mapping of the unknown environment. This tracker allows for correction of the distortions of the 3-axis magnetic compass, which increases the robustness and accuracy of the pose estimates. We present results of applying this approach in an industrial application scenario.

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