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Sensor Fusion for Augmented Reality
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)In: Proceedings of the 9th International Conference on Information Fusion, 2006Conference paper, Published paper (Refereed)
Abstract [en]

In Augmented Reality (AR), the position and orientation of the camera have to be estimated with high accuracy and low latency. This nonlinear estimation problem is studied in the present paper. The proposed solution makes use of measurements from inertial sensors and computer vision. These measurements are fused using a Kalman filtering framework, incorporating a rather detailed model for the dynamics of the camera. Experiments show that the resulting filter provides good estimates of the camera motion, even during fast movements.

Place, publisher, year, edition, pages
2006.
Keyword [en]
Sensor fusion, Kalman filter, Augmented reality, Computer vision, Inertial navigation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-34747DOI: 10.1109/ICIF.2006.301604Local ID: 23072OAI: oai:DiVA.org:liu-34747DiVA: diva2:255595
Conference
9th International Conference on Information Fusion, Florence, Italy, July, 2006
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-09-15

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Hol, JeroenSchön, ThomasGustafsson, Fredrik

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