Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

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 Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification (2025) Gaikwad NS, Heublein L, Raichur NL, Feigl T, Mutschler C, Ott F Conference contribution Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification (2025) Heublein L, Kocher S, Feigl T, Ruxsgamer A, Mutschler C, Ott F Conference contribution Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization (2025) Heublein L, Feigl T, Nowak T, Rugamer A, Mutschler C, Ott F Conference contribution