A System Architecture for Ubiquitous Tracking Environments

  • Authors:

  • Manuel Huber;Daniel Pustka;Peter Keitler;Florian Echtler;Gudrun Klinker

  • Affiliations:

  • Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. e-mail: huberma@in.tum.de;Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. e-mail: pustka@in.tum.de;Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. e-mail: keitler@in.tum.de;Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. e-mail: echtler@in.tum.de;Technische Universität München, Fakultät für Informatik, Boltzmannstraβe 3, 85748 Garching b. München, Germany. e-mail: klinker@in.tum.de

  • Venue:
  • ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
  • Year:
  • 2007

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Abstract

Ubiquitous tracking setups, covering large tracking areas with many heterogeneous sensors of varying accuracy, require dedicated middlware to facilitate development of stationary and mobile applications by providing a simple interface and encapsulating the details of sensing, calibration and sensor fusion. In this paper we present a centrally coordinated peer-to-peer architecture for ubiquitous tracking, where a server computes optimal data flow configurations for sensor and application clients, which are directly exchanging tracking data with low latency using a light-weight data flow framework. The server's decisions are inferred from an actively maintained central spatial relationship graph (SRG) using spatial relationship patterns. The system is compared to a previous Ubitrack implementation using the highly distributed DWARF middleware. It exhibits significantly better performance in a reference scenario.