Follow
Simon Bachhuber
Simon Bachhuber
FAU Erlangen-Nuernberg
Verified email at fau.de
Title
Cited by
Cited by
Year
VQF: A milestone in accuracy and versatility of 6D and 9D inertial orientation estimation
D Laidig, I Weygers, S Bachhuber, T Seel
2022 25th International Conference on Information Fusion (FUSION), 1-6, 2022
42022
RNN-based observability analysis for magnetometer-free sparse inertial motion tracking
S Bachhuber, D Weber, I Weygers, T Seel
2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022
32022
AI-MOLE: Autonomous Iterative Motion Learning for unknown nonlinear dynamics with extensive experimental validation
M Meindl, S Bachhuber, T Seel
Control Engineering Practice 145, 105879, 2024
2024
Plug-and-Play Sparse Inertial Motion Tracking with Sim-to-Real Transfer
S Bachhuber, D Lehmann, E Dorschky, AD Koelewijn, T Seel, I Weygers
IEEE Sensors Letters, 2023
2023
Neural ODEs for Data-driven Automatic Self-Design of Finite-time Output Feedback Control for Unknown Nonlinear Dynamics
S Bachhuber, I Weygers, T Seel
IEEE Control Systems Letters, 2023
2023
Do we still need magnetometers for inertial motion tracking?
I Weygers, D Lehmann, S Bachhuber, D Laidig, T Seel
Proceedings on Automation in Medical Engineering 2 (1), 763-763, 2023
2023
RNN-based state and parameter estimation for sparse magnetometer-free inertial motion tracking
S Bachhuber, I Weygers, T Seel
Proceedings on Automation in Medical Engineering 2 (1), 745-745, 2023
2023
Magnetometer-Free Inertial Motion Tracking of Kinematic Chains
D Lehmann, D Laidig, S Bachhuber, T Seel, I Weygers
Available at SSRN 4785077, 0
The system can't perform the operation now. Try again later.
Articles 1–8