| Until workshop | List of abstracts of all relevant papers concerning: - P2P architectures - Forming P2P sensor networks - Routing through these networks - Motion estimation (together with Daniel) Post the list in the TWiki web |
|---|---|
| Ubitrack workshop | Present results of literature search Define hardware API with project members |
| February - march | Implement needed extensions to the middleware Simulate P2P system in simulator |
| March - april | Form real SR graph over subnetwork boundaries Fallback: Use a only one subnet where all nodes reside Realize parts of the scenario in a first demo |
| April - may | Integration with the components of Dagmar and Daniel Final Demo ! |
| May | Write thesis |
| ProjectForm | |
|---|---|
| Title: | Bootstrapping of Sensor Networks in Ubiquitous Tracking Environments |
| Abstract: | Augmented Reality (AR) applications fuse the real and the virtual world together. Tracking of real objects is a major part of any AR application because it must know their spatial relationships to interact with the user. Ubiquitous Computing applications try to integrate intelligent devices into the environment. By combining concepts of Ubiquitous Computing and Augmented Reality, tracking technologies can be dynamically integrated in new applications. Ubiquitous Tracking aggregates different trackers into one sensor network where all different types of mobile and stationary sensors contribute to the whole system. This thesis deals with the integration of mobile tracking set-ups (clients) into stationary or mobile ones. The client itself does not have any initial knowledge of its ambient infrastructure. The focus of this thesis is to find a conceptual component-based model for dynamically integrating the mobile clients into large-scale sensor networks. In order to accomplish this in a scalable way, the network has to be divided into smaller, self-manageable parts, e.g. by introducing a hierarchical location context. I analyze the requirements for a Ubiquitous Tracking system and give a complete overview over all possible scenarios where two separated systems get connected at runtime. The assumption is that at least one of them is a mobile set-up which has no initial knowledge of the other. By exchanging configuration, information the two systems can (re-)configure their hardware equipment to enable the tracking of each other. If this information does not describe the whole sensor network completely, the sensors can merely track unknown objects. One of the major issues is to recognize and identify these unknown objects by their own motion patterns. By investigating the speed and angular velocity of two objects from two different trackers, static relationships between them can be discovered without an actual measurement of a sensor. The main idea is to find correlation by analyzing the frequencies of those two values. I present results of the investigation of different tracking technologies, such as the ART tracking system, ARToolKit? and Intersense. They show how far these sensors are suitable for the frequency analysis. |
| Student: | Franz Strasser |
| Director: | Gudrun Klinker |
| Supervisor: | Martin Bauer, Martin Wagner, Asa MacWilliams |
| Type: | Diploma Thesis |
| Status: | finished |
| Start: | |
| Finish: | 2004/07/15 |