Miniaturization, Calibration & Accuracy Evaluation of a Hybrid Self-Tracker
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
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ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
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ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
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ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
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NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
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Robotics and Autonomous Systems
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International Journal of Robotics Research
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Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
History: The use of the kalman filter for human motion tracking in virtual reality
Presence: Teleoperators and Virtual Environments
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ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Study on an indoor tracking system with infrared projected markers for large-area applications
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
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Pervasive and Mobile Computing
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IEEE Transactions on Intelligent Transportation Systems
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ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
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We present a demonstrated and commercially viableself-tracker, using robust software that fuses data frominertial and vision sensors.Compared to infrastructure-based trackers, self-trackers have the advantage thatobjects can be tracked over an extremely wide area,without the prohibitive cost of an extensive network ofsensors or emitters to track them.So far most AR researchhas focused on the long-term goal of a purely vision-basedtracker that can operate in arbitrary unpreparedenvironments, even outdoors.We instead chose to startwith artificial fiducials, in order to quickly develop the first self-tracker which is small enough to wear on a belt,low cost, easy to install and self-calibrate, and low enoughlatency to achieve AR registration.We also present aroadmap for how we plan to migrate from artificialfiducials to natural ones.By designing to the requirementsof AR, our system can easily handle the less challengingapplications of wearable VR systems and robot navigation.