Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation

14 May 2020

Thomas Seel

Papers citing "Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation"

4 / 4 papers shown

Title
Generalizable End-to-End Deep Learning Frameworks for Real-Time Attitude Estimation Using 6DoF Inertial Measurement Units Arman Asgharpoor Golroudbari M. Sabour 16 13 0 13 Feb 2023
Adaptive Attitude Estimation Using a Hybrid Model-Learning Approach Eran Vertzberger Itzik Klein 16 8 0 22 Jun 2022
Non-Autoregressive vs Autoregressive Neural Networks for System Identification Daniel Weber C. Gühmann 19 7 0 05 May 2021
RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters Daniel Weber C. Gühmann Thomas Seel 12 35 0 15 Apr 2021