The range of most Virtual Reality and Augmented Reality systems is usually constrained to laboratories by the limited range of a single expensive 6DOF tracking system. Our Ubiquitous Tracking (Ubitrack) approach seeks to overcome this limitation, not by extending the range of a single tracker, but by dynamically incorporating a number of heterogeneous sensors. The Ubitrack tool set consists of Spatial Relationship Graphs (SRGs), which allow for a formal specification of tracking environments, and Spatial Relationship Patterns, which are used to derive data flow configurations by systematic analysis of the SRG. This formal framework supports a distributed software architecture, where clients efficiently produce, transform, transmit and consume tracking data, coordinated by a Ubitrack server. In this document, we discuss both theoretical and implementational aspects and illustrate the new possibilities on a scenario, where a mobile AR user is guided through a building using a diverse and changing set of sensors.
%0 Journal Article
%1 ubitrack2010
%A Pustka, D
%A Huber, M
%A Waechter, C
%A Echtler, F
%A Keitler, P
%A Newman, J
%A Schmalstieg, D
%A Klinker, G
%D 2010
%J Pervasive Computing, IEEE
%K augmentedreality sensornetworks mybsc
%N 99
%P 1
%R 10.1109/MPRV.2010.50
%T Ubitrack: Automatic Configuration of Pervasive Sensor Networks for Augmented Reality
%V PP
%X The range of most Virtual Reality and Augmented Reality systems is usually constrained to laboratories by the limited range of a single expensive 6DOF tracking system. Our Ubiquitous Tracking (Ubitrack) approach seeks to overcome this limitation, not by extending the range of a single tracker, but by dynamically incorporating a number of heterogeneous sensors. The Ubitrack tool set consists of Spatial Relationship Graphs (SRGs), which allow for a formal specification of tracking environments, and Spatial Relationship Patterns, which are used to derive data flow configurations by systematic analysis of the SRG. This formal framework supports a distributed software architecture, where clients efficiently produce, transform, transmit and consume tracking data, coordinated by a Ubitrack server. In this document, we discuss both theoretical and implementational aspects and illustrate the new possibilities on a scenario, where a mobile AR user is guided through a building using a diverse and changing set of sensors.
@article{ubitrack2010,
abstract = {The range of most Virtual Reality and Augmented Reality systems is usually constrained to laboratories by the limited range of a single expensive 6DOF tracking system. Our Ubiquitous Tracking (Ubitrack) approach seeks to overcome this limitation, not by extending the range of a single tracker, but by dynamically incorporating a number of heterogeneous sensors. The Ubitrack tool set consists of Spatial Relationship Graphs (SRGs), which allow for a formal specification of tracking environments, and Spatial Relationship Patterns, which are used to derive data flow configurations by systematic analysis of the SRG. This formal framework supports a distributed software architecture, where clients efficiently produce, transform, transmit and consume tracking data, coordinated by a Ubitrack server. In this document, we discuss both theoretical and implementational aspects and illustrate the new possibilities on a scenario, where a mobile AR user is guided through a building using a diverse and changing set of sensors.},
added-at = {2011-02-26T12:46:30.000+0100},
author = {Pustka, D and Huber, M and Waechter, C and Echtler, F and Keitler, P and Newman, J and Schmalstieg, D and Klinker, G},
biburl = {https://www.bibsonomy.org/bibtex/29488005919638c07773f6b13a6e26ed8/kw},
doi = {10.1109/MPRV.2010.50},
interhash = {64c4f472022dcaca04cd4b5690fc5f40},
intrahash = {9488005919638c07773f6b13a6e26ed8},
issn = {1536-1268},
journal = {Pervasive Computing, IEEE},
keywords = {augmentedreality sensornetworks mybsc},
number = 99,
pages = 1,
timestamp = {2012-08-24T14:02:31.000+0200},
title = {Ubitrack: Automatic Configuration of Pervasive Sensor Networks for Augmented Reality},
volume = {PP},
year = 2010
}