Global pose estimation using multi-sensor fusion for outdoor Augmented Reality

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… (More)
DOI: 10.1109/ISMAR.2009.5336489

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