Tobias Feigl

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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To

Abstract

Journal

Towards Realistic Statistical Channel Models For Positioning: Evaluating the Impact of Early Clusters (2025) Alawieh M, George Y, Eberlein E, Ghimire B, Franke N, Jäckel S, Feigl T, Mutschler C Unpublished / Preprint PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams (2025) Bauer P, Porada A, Ott F, Feigl T Conference contribution, Original article Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers (2025) Schelenz L, Rajanna S, Gosalci D, Heublein L, Pirkl J, Ott J, Ott F, Feigl T Conference contribution, Original article Step Detection Enhanced by Anomaly Filtering (2025) Sayyaf MI, Zhu N, Renaudin V, Feigl T Conference contribution, Original article GNSS Interference Monitoring: Resilience of Machine Learning Methods on Public Real-World Datasets (2024) Heublein L, Raichur NL, Feigl T, Brieger T, Heuer F, Asbach L, Ruegamer A, Ott F Journal article, Original article Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models (2024) Brasseler L, Stahlke M, Altstidl TR, Feigl T, Mutschler C Conference contribution, Original article Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization (2024) Ott J, Pirkl J, Stahlke M, Feigl T, Mutschler C Conference contribution, Original article Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies (2024) Heublein L, Raichur NL, Feigl T, Brieger T, Heuer F, Asbach L, Hansen J, et al. Conference contribution, Original article Reinforcement Learning Framework for Robust Navigation in GNSS Receivers (2024) Contreras DF, Cortes I, Kontes G, Feigl T, Mutschler C, Ruegamer A Conference contribution, Original article Research Avenues for GNSS Interference Classification Robustness: Domain Adaptation, Continual Learning & Federated Learning (2024) Heublein L, Ott F, Feigl T Conference contribution, Original article