Search Results for author: Thomas Stadelmayer

Found 5 papers, 2 papers with code

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

no code implementations26 Oct 2022 Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille

There, we show that our method outperforms related Meta-RL approaches on unseen tracking scenarios in peak performance by 16% and the baseline by 35% while detecting OOD data with an F1-Score of 72%.

Meta-Learning Meta Reinforcement Learning +3

MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling

1 code implementation24 Oct 2022 Julius Ott, Lorenzo Servadei, Jose Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sánchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

This is enabled by the uncertainty estimation of the Q-Value function, which guides the sampling to explore more significant transitions and, thus, learn a more efficient policy.

reinforcement-learning Reinforcement Learning (RL)

Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation

no code implementations30 May 2022 Michael Stephan, Thomas Stadelmayer, Avik Santra, Georg Fischer, Robert Weigel, Fabian Lurz

This paper presents a parametric variational autoencoder-based human target detection and localization framework working directly with the raw analog-to-digital converter data from the frequency modulated continous wave radar.

Domain Adaptation Image Reconstruction

Light-weight Gesture Sensing Using FMCW Radar Time Series Data

no code implementations22 Nov 2021 Thomas Stadelmayer, Avik Santra, Robert Weigel, Fabian Lurz

The paper proposes a novel feature extraction approach for FMCW radar systems in the field of short-range gesture sensing.

Time Series Time Series Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.