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ORCIDSusanne Radtke
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2020 – today
- 2022
[b1]Susanne Radtke:
Distributed Estimation Using Partial Knowledge about Correlated Estimation Errors. Karlsruhe Institute of Technology, Germany, 2022- 2021
- [c7]Susanne Radtke, Jirí Ajgl
, Ondrej Straka, Uwe D. Hanebeck:
Learning and Exploiting Partial Knowledge in Distributed Estimation. MFI 2021: 1-7 - 2020
- [c6]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Fully Decentralized Estimation Using Square-Root Decompositions. FUSION 2020: 1-8
2010 – 2019
- 2019
- [c5]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Distributed Estimation with Partially Overlapping States based on Deterministic Sample-based Fusion. ECC 2019: 1822-1829 - [c4]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Distributed Estimation using Square Root Decompositions of Dependent Information. FUSION 2019: 1-8 - [c3]Susanne Radtke, Kailai Li, Benjamin Noack, Uwe D. Hanebeck:
Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-only Measurements. ICPS 2019: 236-241 - 2018
- [c2]Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck, Ondrej Straka:
Reconstruction of Cross-Correlations with Constant Number of Deterministic Samples. FUSION 2018: 1638-1645 - [c1]Kailai Li, Daniel Frisch, Susanne Radtke, Benjamin Noack, Uwe D. Hanebeck:
Wavefront Orientation Estimation Based on Progressive Bingham Filtering. SDF 2018: 1-6
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