Tobias Feigl
Orcid: 0000-0002-3040-3543Affiliations:
- Fraunhofer IIS, Nuremberg, Germany
- University of Erlangen-Nurmenberg, Germany (former)
According to our database1,
Tobias Feigl
authored at least 51 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization.
CoRR, July, 2025
CoRR, May, 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies.
CoRR, March, 2025
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning.
Trans. Mach. Learn. Res., 2025
Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025
Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025
PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025
Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification.
Proceedings of the International Conference on Localization and GNSS, 2025
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization.
Proceedings of the International Conference on Localization and GNSS, 2025
2024
Dataset, November, 2024
Optimal Machine Learning and Signal Processing Synergies for Low-Resource GNSS Interference Classification.
IEEE Trans. Aerosp. Electron. Syst., June, 2024
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification.
CoRR, 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling.
CoRR, 2024
Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024
Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024
Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data.
Proceedings of the International Conference on Localization and GNSS, 2024
2023
Sensors, April, 2023
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023
2022
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach.
CoRR, 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression.
CoRR, 2022
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes.
CoRR, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Low-cost COTS GNSS interference detection and classification platform: Initial results.
Proceedings of the 2022 International Conference on Localization and GNSS, 2022
2021
Datengetriebene Methoden zur Bestimmung von Position und Orientierung in funk- und trägheitsbasierter Koppelnavigation.
PhD thesis, 2021
Contact Tracing with the Exposure Notification Framework in the German Corona-Warn-App.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
Robust ToA-Estimation using Convolutional Neural Networks on Randomized Channel Models.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021
2020
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Trans. Vis. Comput. Graph., 2019
UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis.
Sensors, 2019
A Social Interaction Interface Supporting Affective Augmentation Based on Neuronal Data.
Proceedings of the Symposium on Spatial User Interaction, 2019
Brain 2 Communicate: EEG-based Affect Recognition to Augment Virtual Social Interactions.
Proceedings of the Mensch und Computer 2019, 2019
Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019
2018
Proceedings of the 10th International Conference on Virtual Worlds and Games for Serious Applications, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018
2017
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, 2017
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017