| Zugriffsnummer | 46652 |
| Dokumenttyp | Konferenzartikel |
| Peer Review | unbekannt |
| Sprache | Englisch |
| Titel | Uncertainty-aware sensor fusion in sensor networks |
| Autor(in); Institution |
Gruber, Maximilian; PSt, Präsidialer Stab, PTB-Berlin; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin
Pilar von Pilchau, Wenzel; University of Augsburg, Augsburg, GERMANY
Gowtham, Varun; Fraunhofer FOKUS, Berlin, GERMANY
Koutrakis, Nikolaos-Stefanos; Fraunhofer IPK, Berlin, GERMANY
Riedl, Matthias; ifak, Magdeburg, GERMANY
Eichstädt, Sascha; PSt, Präsidialer Stab, PTB-Berlin
Hähner, Jörg; University of Augsburg, Augsburg, GERMANY
Uhlmann, Eckart; Fraunhofer IPK, Berlin, GERMANY
Polte, Julian; Fraunhofer IPK, Berlin, GERMANY
Willner, Alexander; Fraunhofer FOKUS, Berlin, GERMANY
|
| Quelle/Jahr | SMSI 2021 - Sensor and Measurement Science International:(2021), 246 - 247 |
| Availability | [online only] |
| ISBN | 978-3-9819376-4-0 |
| DOI | |
| Verlag | Wunstorf: AMA Service GmbH |
| Konferenzangaben | SMSI 2021 - Sensor and Measurement Science International Conference, Virtual Conference, 03-06, May, 2021 |
| Freie Schlagworte | sensor networks ; measurement uncertainty ; metadata ; sensor fusion ; digital twin ; emulated sensor |
| Zusammenfassung | Uncertainty assignment for measurement values is a common process for single sensors, but this procedure grows in complexity for sensor networks. Often measured values are processed further in such networks and uncertainty must be evaluated for virtual values. A simple example is the fusion of homogeneous values and faulty or drifting sensors can harm the virtual value. We introduce a method from the field of key-comparison into the domain of sensor fusion. The method is evaluated in three different scenarios within an agent-framework. |
| Kostenfreier Zugang | Freier Zugang |
| Themenbereich der Metrologie | Mathematik und metrologische Informationstechnik |
| Forschungsprojekt | FAMOUS |
Zitierung
Gruber, M., Pilar von Pilchau, W., Gowtham, V., Koutrakis, N.-S., Riedl, M., Eichstädt, S., Hähner, J., Uhlmann, E., Polte, J., & Willner, A. (2021). Uncertainty-aware sensor fusion in sensor networks. SMSI 2021 - Sensor and Measurement Science International Conference, Virtual Conference, 03-06, May, 2021. https://doi.org/10.5162/smsi2021/d2.2