The Tinmith system: demonstrating new techniques for mobile augmented reality modelling
AUIC '02 Proceedings of the Third Australasian conference on User interfaces - Volume 7
Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage
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Orientation Tracking for Outdoor Augmented Reality Registration
IEEE Computer Graphics and Applications
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IEEE Computer Graphics and Applications
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Presence: Teleoperators and Virtual Environments - Mixed reality
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VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
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ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
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ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Going out: robust model-based tracking for outdoor augmented reality
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
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Future Internet --- FIS 2008
3D fiducials for scalable AR visual tracking
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
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SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
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Computer Communications
Robust mobile computing framework for visualization of simulated processes in augmented reality
Proceedings of the Winter Simulation Conference
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Almost all previous Augmented Reality (AR) systems work indoors. Outdoor AR systems offer the potential for new application areas. However, building an outdoor AR system is difficult due to portability constraints, the inability to modify the environment, and the greater range of operating conditions. We demonstrate a hybrid tracker that stabilizes an outdoor AR display with respect to user motion, achieving more accurate registration than previously shown in an outdoor AR system. The hybrid tracker combines rate gyros with a compass and tilt orientation sensor in a near real-time system. Sensor distortions and delays required compensation to achieve good results. The measurements from the two sensors are fused together to compensate for each other's limitations. From static locations with moderate head rotation rates, peak registration errors are ~2 degrees, with typical errors under 1 degree, although errors can become larger over long time periods due to compass drift. Without our stabilization, even small motions make the display nearly unreadable.