This page has been updated for the last time on May 13, 2011.
You might be interested in the website of my company, EXTEND3D GmbH: www.extend3d.com
You can further browse my profiles at XING and LinkedIn or my TUM alumni profile.
On top of Nevado Pastorouri, Perú
Interactive position- and orientation tracking is a major prerequisite for augmented reality in general.
The focus of my work is on the management of tracking and tracking accuracy in industrial environments.
The foundations for this have been laid during the trackframe
project (2006-2009). Its focus was the integration of various kinds of sensors for the purpose of 6 DoF pose / position / orientation tracking in heterogeneous wide-area environments. The basic concept are spatial relationship patterns which represent recurring tracking/calibration/fusion problems and can be solved by a certain algorithm. Spatial Relationship Patterns can be combined to form a graph structure called the Spatial Relationship Graph (SRG). It represents the spatial relationships that are relevant for a certain tracking environment and at the same time provides all information that is needed to instantiate a dataflow which derives the spatial relationships needed by the AR/VR application. These core concepts are provided in terms of the Ubitrack
One major aspect of my research is the question how these concepts can help to facilitate design and maintenance of complex tracking environments. To this end, a graphical planning and analysis tool called trackman
(trackframe manager) is being developed. It comprises functionality for off-line planning and configuration of tracking environments in terms of Spatial Relationship Graphs. Furthermore, concepts are being developed which allow for the evaluation of accuracy of tracking data within an existing tracking environment. Different sensors can be tested and the results can be compared.
In the context of the AVILUS project (since 2009) I now work on Monte Carlo simulations to assess the accuracy properties of various industrial tracking environments. For example, it is possible to simulate the resulting AR application error (e.g. 3D measurement or 2D video overlay error) based on the assumption of known sensor input noise. This work is integrated with trackman
and the SRG concepts described above.
My Ph.D. advisor is Prof. Gudrun Klinker.
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| UsersForm |
| Title: || Dr. |
| Firstname: || Peter |
| Middlename: || |
| Lastname: || Keitler |
| Picture: || |
| Birthday: || |
| Nationality: || Germany |
| Languages: || English, German, French, Spanish |
| Groups: || Industrial Augmented Reality, Ubiquitous Tracking (Sensor Fusion), System Architectures for Ubiquitous Augmented Reality |
| Expertise: || |
| Position: || Former Collegue |
| Status: || Alumni |
| Emailbefore: || keitler |
| Emailafter: || mytum.de |
| Room: || MI 00.13.062 |
| Telephone: || +49 89 289 17091 |
| Alumniactivity: || Co-founder of EXTEND3D GmbH |
| Defensedate: || 12 April 2011 |
| Thesistitle: || Management of Tracking and Tracking Accuracy in Industrial Augmented Reality Environments |
| Alumnihomepage: || https://db.alumni.tum.de/ac/members/members_details.php?lang=&member=38791 |
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