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Abstract
In this article, we introduce our Multimodal Fusion
Architecture for Sensor Applications - MuFASA, which our
research group has developed at the Austrian Institute of
Technology. It offers a robust fusion architecture for realtime sensor applications, providing situational awareness
and precise decision support.
Architecture for Sensor Applications - MuFASA, which our
research group has developed at the Austrian Institute of
Technology. It offers a robust fusion architecture for realtime sensor applications, providing situational awareness
and precise decision support.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 28-29 |
| Seitenumfang | 2 |
| Fachzeitschrift | ERCIM 140 |
| Issue | 140 |
| Publikationsstatus | Veröffentlicht - 15 Jan. 2025 |
Research Field
- Responsive Sensing & Analytics
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A Bayesian Approach - Data Fusion for robust detection of Vandalism and Trespassing related events in the context of railway security
Hubner, M. (Vortragende:r), Wohlleben, K., Litzenberger, M., Veigl, S., Opitz, A., Grebien, S. & Maria-Theresia Dvorak, 15 Okt. 2024, Proceedings of ISIF International Conference on Information Fusion (FUSION 2024). Band 27. S. 1-7Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung
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Robust Detection of Critical Events in the Context of Railway Security based on Multimodal Sensor Data Fusion
Hubner, M., Wohlleben, K., Litzenberger, M., Veigl, S., Opitz, A., Grebien, S., Graf, F., Haderer, A., Rechbauer, S. & Poltschak, S., 25 Juni 2024, in: Sensors. 24, 13, 18 S., 4118.Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung
Open Access