Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification (2025) Schubert J, Yammine G, Karbownik P, Maestri A, George N, Stahlke M, Feigl T, et al. Conference contribution Definition of a Neural Network for an IR Positioning System based on Energy Measurements (2025) Molto D, Aparicio-Esteve E, Hernandez A, Feigl T, Mutschler C, Urena J Conference contribution Passive Channel Charting: Locating Passive Targets using a UWB Mesh (2025) Poeggel R, Stahlke M, Pirkl J, Ott J, Yammine G, Feigl T, Mutschler C Conference contribution 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 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 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 Research Avenues for GNSS Interference Classification Robustness: Domain Adaptation, Continual Learning & Federated Learning (2024) Heublein L, Ott F, Feigl T Conference contribution, Original article Velocity-Based Channel Charting with Spatial Distribution Map Matching (2024) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Journal article