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Distributed Heterogeneous Tracking for Augmented Reality Using Component Based Software Technologies

This project focuses on the challenges in implementing a framework and a proof-of-concept prototype for a wide-area, distributed tracking system consisting of heterogeneous trackers for mobile augmented reality (AR) systems. The tracking of objects over a wide area is one of the core requirements for a successful implementation and deployment of mobile augmented reality systems. In the AR research community, high quality (i.e., accurate and fast) and wide-area tracking has been identified as one of the challenge areas in order to create practical mobile AR systems. This research addresses challenges related to the creation of a interoperable software infrastructure for distributed tracking, the management of heterogeneous trackers, and the fusion of their measurements. Specifically, to manage and interoperate between the existing trackers, we use our on-going work on distributed component-based software systems, UniFrame. To solve the data fusion problem, we use the federated Kalman filters and their extensions.

Project Presented By

Raje, Rajeev

Raje, Rajeev
Position:Professor
Mail:Raje, Rajeev
Phone:317-274-5174
Url: http://www.cs.iupui.edu/~rraje

Education Details

BE:Electrical Engineering University of Bombay 1984
MS:Computer Engineering Syracuse University 1994
PhD:Computer Science Syracuse University 1994

Research Interests

Tuceryan, Mihran

Tuceryan, Mihran
Position:Associate Professor
Mail:Tuceryan, Mihran
Phone:317-274-9736
Url:http://www.cs.iupui.edu/~tuceryan

Education Details

BS:Computer Science and Engineering Massachusetts institute of Technology 1978
PhD:Computer Science University of Illinois 1980

Research Interests