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Daniel Weber 0005
Person information
- affiliation: TU Berlin, Institute of Energy and Automation, Germany
Other persons with the same name
- Daniel Weber 0001 — Fraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany
- Daniel Weber 0002 — Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE, Bonn, Germany (and 1 more)
- Daniel Weber 0003 — University of Tübingen, Germany
- Daniel Weber 0004 — Paderborn University, Germany
- Daniel Weber 0006 — Infineon Technologies AG, Neubiberg, Germany
- Daniel Weber 0007 — CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
- Daniel Weber 0008 — Technische Universität Kaiserslautern, Germany
- Daniel Weber 0009 — Freeman Technology, Tewkesbury, UK
- Daniel Weber 0010 — LMU Munich, Germany
- Daniel Weber 0011 — Julius-Maximilians-Universität Würzburg, Germany
- Daniel Weber 0012 — University Duisburg, Germany
- Daniel Weber 0013 — University Bern, Switzerland
- Daniel Weber 0014 — University of Technology, Vienna, Austria
- Daniel Weber 0015 — Technische Universität München, Munich, Germany
- Daniel Weber 0016 — University of Oklahoma, USA
- Daniel Weber 0017 — Schneider Electric, Grenoble, France
- Daniel Weber 0018 — Karlsruhe Institute of Technology, Germany
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2020 – today
- 2022
- [c2]Simon Bachhuber, Daniel Weber, Ive Weygers, Thomas Seel:
RNN-based Observability Analysis for Magnetometer-Free Sparse Inertial Motion Tracking. FUSION 2022: 1-8 - 2021
- [d1]Daniel Weber, Marius Gentejohann, Erik Goldammer, Michael Schlüter:
SiCWell Dataset. IEEE DataPort, 2021 - [i3]Daniel Weber, Clemens Gühmann, Thomas Seel:
Robust Neural Networks Outperform Attitude Estimation Filters. CoRR abs/2104.07391 (2021) - [i2]Daniel Weber, Clemens Gühmann:
Non-Autoregressive vs Autoregressive Neural Networks for System Identification. CoRR abs/2105.02027 (2021) - 2020
- [c1]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. FUSION 2020: 1-8 - [i1]Daniel Weber, Clemens Gühmann, Thomas Seel:
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation. CoRR abs/2005.06897 (2020)
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last updated on 2024-10-07 21:20 CEST by the dblp team
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