Dissertation Defense of Peter Keitler

Title: Management of Tracking and Tracking Accuracy in Industrial Augmented Reality Environments

Abstract:

Industrial Augmented Reality (IAR) techniques may help to increase the productivity of many working processes by augmenting interactively the physical scene with virtual information. Realtime position and orientation tracking of physical objects is needed to register them with the virtual world. It can be implemented based on a variety of sensors providing, e.g., optical, inertial, or acoustic measurements. Often, even a heterogeneous multi-sensor tracking environment is needed to achieve the needed levels of robustness and accuracy. This thesis describes a generic approach to deal with the complexity of heterogeneous tracking environments. An abstract semantic modeling concept based on spatial relationship graphs (SRG) and its implementation in a graphical data-flow editor is presented. Based on this, simulation and analysis tools for a rigorous management of tracking accuracy are described.

Committee Head: Prof. Dr. Nassir Navab, TUM
1st Referee: Prof. Gudrun Klinker, TUM
2nd Referee: Prof. Grech Welch, University of North Carolina at Chapel Hill

Date: Tuesday, April 12, 2011

Time: 14:30 (20min public presentation + approx. 30-40min non-public examination)

Location: MI 03.13.010

Technische Universität München
Fakultät für Informatik
Boltzmannstr. 3
85748 Garching b. München
Germany