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


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


18 Figures and Tables


Citations per Year

97 Citations

Semantic Scholar estimates that this publication has 97 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics