Social Augmentations in Multi-User Virtual Reality: A Virtual Museum Experience. - Daniel Roth 001; Constantin Kleinbeck; Tobias Feigl; Christopher Mutschler; Marc Erich Latoschik (ISMAR Adjunct, 2017)

Acoustical manipulation for redirected walking. - Tobias Feigl; Eliise Kõre; Christopher Mutschler; Michael Philippsen (VRST, 2017)

Supervised Learning for Yaw Orientation Estimation. - Tobias Feigl; Christopher Mutschler; Michael Philippsen (IPIN, 2018)

Recurrent Neural Networks on Drifting Time-of-Flight Measurements. - Tobias Feigl; Thorsten Nowak; Michael Philippsen; Thorsten Edelhäußer; Christopher Mutschler (IPIN, 2018)

Human Compensation Strategies for Orientation Drifts. - Tobias Feigl; Christopher Mutschler; Michael Philippsen (VR, 2018)

Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. - Tobias Feigl; Christopher Mutschler; Michael Philippsen (VR, 2018)

Beyond Replication: Augmenting Social Behaviors in Multi-User Virtual Realities. - Daniel Roth 001; Constantin Kleinbeck; Tobias Feigl; Christopher Mutschler; Marc Erich Latoschik (VR, 2018)

A Location-Based VR Museum. - Jean-Luc Lugrin; Florian Kern; Ruben Schmidt; Constantin Kleinbeck; Daniel Roth 001; Christian Daxer; Tobias Feigl; Christopher Mutschler; Marc Erich Latoschik (VS-GAMES, 2018)

A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. - Tobias Feigl; Sebastian Kram; Philipp Woller; Ramiz H. Siddiqui; Michael Philippsen; Christopher Mutschler (IPIN, 2019)

Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions. - Daniel Roth 001; Franziska Westermeier; Larissa Brübach; Tobias Feigl; Christian Schell; Marc Erich Latoschik (MuC (Workshopband), 2019)

A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data. - Daniel Roth 001; Larissa Brübach; Franziska Westermeier; Christian Schell; Tobias Feigl; Marc Erich Latoschik (SUI, 2019)

UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis. - Sebastian Kram; Maximilian Stahlke; Tobias Feigl; Jochen Seitz 002; Jörn Thielecke (Sensors, 2019)

Sick Moves! Motion Parameters as Indicators of Simulator Sickness. - Tobias Feigl; Daniel Roth 001; Stefan Gradl; Markus Wirth; Marc Erich Latoschik; Björn M. Eskofier; Michael Philippsen; Christopher Mutschler (IEEE Trans. Vis. Comput. Graph., 2019)

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. - Felix Ott 001; Tobias Feigl; Christoffer Löffler; Christopher Mutschler (CVPR Workshops, 2020)

Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. - Tobias Feigl; Andreas Porada; Steve Steiner; Christoffer Löffler; Christopher Mutschler; Michael Philippsen (VISIGRAPP (1: GRAPP), 2020)

Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor. - Tobias Feigl; Lisa Gruner; Christopher Mutschler; Daniel Roth 001 (ISMAR Adjunct, 2020)

A Sense of Quality for Augmented Reality Assisted Process Guidance. - Anes Redzepagic; Christoffer Löffler; Tobias Feigl; Christopher Mutschler (ISMAR Adjunct, 2020)

RNN-Aided Human Velocity Estimation from a Single IMU. - Tobias Feigl; Sebastian Kram; Philipp Woller; Ramiz H. Siddiqui; Michael Philippsen; Christopher Mutschler (Sensors, 2020)

Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning. - Thomas Altstidl; Sebastian Kram; Oskar Herrmann; Maximilian Stahlke; Tobias Feigl; Christopher Mutschler (IPIN, 2021)

Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models. - Tobias Feigl; Ernst Eberlein; Sebastian Kram; Christopher Mutschler (IPIN, 2021)

Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App. - Steffen Meyer; Thomas Windisch; Adrian Perl; Daniel Dzibela; Robert Marzilger; Nicolas Witt; Justus Benzler; Göran Kirchner; Tobias Feigl; Christopher Mutschler (IPIN, 2021)

Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk- und trägheitsbasierter Koppelnavigation. - Tobias Feigl (2021)

Low-cost COTS GNSS interference detection and classification platform: Initial results. - Johannes Rossouw van der Merwe; David Contreras Franco; Dorsaf Jdidi; Tobias Feigl; Alexander Rügamer; Wolfgang Felber (ICL-GNSS, 2022)

Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments. - Maximilian Stahlke; Tobias Feigl; Mario Hernán Castañeda García; Richard A. Stirling-Gallacher; Jochen Seitz 002; Christopher Mutschler (VTC Spring, 2022)

Delay Estimation in Dense Multipath Environments using Time Series Segmentation. - Sebastian Kram; Christopher Kraus; Maximilian Stahlke; Tobias Feigl; Jörn Thielecke; Christopher Mutschler (WCNC, 2022)

Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes. - Sebastian Kram; Christopher Kraus; Tobias Feigl; Maximilian Stahlke; Jörg Robert; Christopher Mutschler (CoRR, 2022)

Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. - Felix Ott 001; Nisha Lakshmana Raichur; David Rügamer; Tobias Feigl; Heiko Neumann; Bernd Bischl; Christopher Mutschler (CoRR, 2022)

Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. - Maximilian Stahlke; George Yammine; Tobias Feigl; Bjoern M. Eskofier; Christopher Mutschler (CoRR, 2022)

Multipath Delay Estimation in Complex Environments using Transformer. - Jonathan Ott; Maximilian Stahlke; Sebastian Kram; Tobias Feigl; Christopher Mutschler (IPIN, 2023)

Uncertainty-based Fingerprinting Model Selection for Radio Localization. - Maximilian Stahlke; Tobias Feigl; Sebastian Kram; Bjoern M. Eskofier; Christopher Mutschler (IPIN, 2023)

Velocity-Based Channel Charting with Spatial Distribution Map Matching. - Maximilian Stahlke; George Yammine; Tobias Feigl; Bjoern M. Eskofier; Christopher Mutschler (CoRR, 2023)

Low-Cost COTS GNSS Interference Monitoring, Detection, and Classification System. - Johannes Rossouw van der Merwe; David Contreras Franco; Jonathan Hansen; Tobias Brieger; Tobias Feigl; Felix Ott 001; Dorsaf Jdidi; Alexander Rügamer; Wolfgang Felber (Sensors, 2023)

Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. - Felix Ott 001; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Jonathan Hansen; Alexander Rügamer; Christopher Mutschler (ICL-GNSS, 2024)

Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models. - Leon Brasseler; Maximilian Stahlke; Thomas Altstidl; Tobias Feigl; Christopher Mutschler (IPIN, 2024)

Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization. - Jonathan Ott; Jonas Pirkl; Maximilian Stahlke; Tobias Feigl; Christopher Mutschler (IPIN, 2024)

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling. - Lucas Heublein; Tobias Feigl; Alexander Rügamer; Felix Ott 001 (CoRR, 2024)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. - Saurabh Sampatrao Gaikwad; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (CoRR, 2024)

Optimal Machine Learning and Signal Processing Synergies for Low-Resource GNSS Interference Classification. - Johannes Rossouw van der Merwe; David Contreras Franco; Tobias Feigl; Alexander Rügamer (IEEE Trans. Aerosp. Electron. Syst., 2024)

GNSS Interference Spectrum & Low-Cost Controlled Indoor Dataset. - Tobias Brieger; Tobias Feigl; Lucas Heublein; Alexander Rügamer; Felix Ott 001 (IEEE DataPort, 2024)

GNSS Interference Spectrum Controlled Low-Frequency. - Lucas Heublein; Tobias Feigl; Thorsten Nowak; Alexander Rügamer; Felix Ott 001 (IEEE DataPort, 2024)

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization. - Lucas Heublein; Tobias Feigl; Thorsten Nowak; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 2025)

Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification. - Lucas Heublein; Simon Kocher; Tobias Feigl; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 2025)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. - Nishant S. Gaikwad; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (NOMS, 2025)

PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams. - Peter Bauer; Andreas Porada; Felix Ott 001; Christopher Mutschler; Tobias Feigl (PLANS, 2025)

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers. - Lukas Schelenz; Shobha Rajanna; Denis Gosalci; Lucas Heublein; Jonas Pirkl; Jonathan Ott; Felix Ott 001; Christopher Mutschler; Tobias Feigl (PLANS, 2025)

GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU. - Thorben Wegner; Lucas Heublein; Tobias Feigl; Felix Ott 001; Christopher Mutschler; Alexander Rügamer (PLANS, 2025)

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization. - Harshith Manjunath; Lucas Heublein; Tobias Feigl; Felix Ott 001 (WCNC, 2025)

Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. - Nisha Lakshmana Raichur; Lucas Heublein; Tobias Feigl; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (Trans. Mach. Learn. Res., 2025)

Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies. - Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Tobias Brieger; Fin Heuer; Lennart Asbach; Alexander Rügamer; Felix Ott 001 (CoRR, 2025)

Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels. - Jonathan Ott; Maximilian Stahlke; Tobias Feigl; Bjoern M. Eskofier; Christopher Mutschler (CoRR, 2025)

Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization. - Lucas Heublein; Christian Wielenberg; Thorsten Nowak; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (CoRR, 2025)