Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

GNSS Jammer Direction Finding in Dynamic Scenarios Using an Inertial-based Multi-Antenna System (2026) Heublein L, Nowak T, Feigl T, Pahl J, Ott F Unpublished / Preprint Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning (2026) Raichur NL, Heublein L, Feigl T, Ruegamer A, Mutschler C, Ott F Unpublished / Preprint Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels (2026) Ott J, Stahlke M, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Step Detection Enhanced by Anomaly Filtering (2025) Sayyaf MI, Zhu N, Renaudin V, Feigl T Conference contribution PDRNN: Modular Data-driven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 Metric-Based Few-Shot Learning With Triplet Selection for Adaptive GNSS Interference Classification (2025) Ott F, Heublein L, Feigl T, Rügamer A, Mutschler C Journal article Step Detection Enhanced by Anomaly Filtering (2025) Sayyaf MI, Zhu N, Renaudin V, Feigl T Conference contribution, Original article Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization (2025) Manjunath H, Heublein L, Feigl T, Ott F Conference contribution Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization (2025) Heublein L, Wielenberg C, Nowak T, Feigl T, Mutschler C, Ott F Conference contribution