User:Reinhardt
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Marc Reinhardt
 | Dipl.-Inform. Research Assistant, Ph.D. Student |
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| Address: | Karlsruher Institut für Technologie
Institut für Anthropomatik Gebäude 50.20 Raum 124 Adenauerring 2 D-76131 Karlsruhe |
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| Walk-in hours: | on arrangement | |
| Phone: | +49-721-608-46340 | |
| E-mail: | Marc.Reinhardt@kit.edu | |
Academic Career
| Since 11/11 | Research Assistant at the Intelligent Sensor-Actuator-Systems Lab, Department of Computer Science, Karlsruhe Insitute of Technology. |
| 03/11 - 10/11 | Diploma Thesis: "Strategies for the Identification of Dependencies and for Distributed Data Fusion in Sensor Networks". |
| 08/10 - 12/10 | Study Thesis: "Fusion of Uncertain Information under Unknown Correlations". |
| 10/07 - 10/11 | Student of Informatics at the Karlsruhe Institute of Technology. |
Research Interests
- Data fusion in sensor networks
Publications
Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck,
An Extension to Exact T2TF for Consistent Distributed Data Fusion (preliminary title),
- Proceedings of the 15th International Conference on Information Fusion (Fusion 2012) (to appear), Singapore, July, 2012.
Author : Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Title : An Extension to Exact T2TF for Consistent Distributed Data Fusion (preliminary title)
In : Proceedings of the 15th International Conference on Information Fusion (Fusion 2012) (to appear)
Date : July 2012
Closed-form Optimization of Covariance Intersection for Low-Dimensional Matrices (preliminary title),
- Proceedings of the 15th International Conference on Information Fusion (Fusion 2012) (to appear), Singapore, July, 2012.
- Author : Marc Reinhardt, Benjamin Noack, Uwe D. Hanebeck
Title : Closed-form Optimization of Covariance Intersection for Low-Dimensional Matrices (preliminary title)
In : Proceedings of the 15th International Conference on Information Fusion (Fusion 2012) (to appear)
Date : July 2012
Analysis of Set-theoretic and Stochastic Models for Fusion under Unknown Correlations,
- Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), Chicago, Illinois, USA, July, 2011.
Author : Marc Reinhardt, Benjamin Noack, Marcus Baum, Uwe D. HanebeckAbstract
Title : Analysis of Set-theoretic and Stochastic Models for Fusion under Unknown Correlations
In : Proceedings of the 14th International Conference on Information Fusion (Fusion 2011)
Date : July 2011In data fusion theory, multiple estimates are combined to yield an optimal result.
In this paper, the set of all possible results is investigated, when two random variables with unknown correlations are fused.
As a first step, recursive processing of the set of estimates is examined.
Besides set-theoretic considerations, the lack of knowledge about the unknown correlation coefficient is modeled as a stochastic quantity.
Especially, a uniform model is analyzed, which provides a new optimization criterion for the covariance intersection algorithm in scalar state spaces.
This approach is also generalized to multi-dimensional state spaces in an approximative, but fast and scalable way, so that consistent estimates are obtained.
