Integrated navigation of cameras for augmented reality
| Authors: | Schön Thomas, Linköping University, Sweden
Gustafsson Fredrik, Linköping University, Sweden |
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| Topic: | 1.1 Modelling, Identification & Signal Processing |
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| Session: | State Estimation, Tracking and Sensor Fusion |
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| Keywords: | Sensor fusion, Kalman filter, Inertial navigation, Augmented reality, Vision |
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Abstract
In augmented reality, the position and orientation of the cameramust be estimated very accurately. This paper propose a filteringapproach, similar to integrated navigation in aircraft, which isbased on inertial measurements as primary sensor on whichdead-reckoning can be based, and features in the image assupporting information to stabilize the dead-reckoning. The imagefeatures are considered to be sensor signals in a Kalman filterframework.
