Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

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 Velocity-Based Channel Charting with Spatial Distribution Map Matching (2024) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Journal article Estimating Multipath Component Delays with Transformer Models (2024) Ott J, Stahlke M, Feigl T, Mutschler C Journal article Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization (2024) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Journal article, Original article Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data (2024) Ott F, Heublein L, Raichur NL, Feigl T, Hansen J, Ruegamer A, Mutschler C Conference contribution, Original article Optimal machine learning and signal processing synergies for low-resource GNSS interference detection and classification (2024) Van Der Merwe JR, Contreras DF, Feigl T, Ruegamer A Journal article, Original article Uncertainty-based Fingerprinting Model Selection for Radio Localization (2023) Stahlke M, Feigl T, Kram S, Eskofier B, Mutschler C Conference contribution, Original article Multipath Delay Estimation in Complex Environments using Transformer (2023) Ott J, Stahlke M, Kram S, Feigl T, Mutschler C Conference contribution, Original article Evaluation of (Un-)Supervised Machine-Learning-Based Detection, Classification, and Localization Methods of GNSS Interference in the Real World (2023) Feigl T, Brieger T, Ott F, Hansen J, Contreras DF, Ruegamer A, Felber W Conference contribution, Original article Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression (2023) Ott F, Raichur NL, Ruegamer D, Feigl T, Neumann H, Bischl B, Mutschler C Other publication type