Maximilian Stahlke
Maximilian Stahlke, M. Sc.
| Since 11/2022 | Researcher and Ph.D. Candidate Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg Topic: Data-driven Indoor localization |
| Since 10/2020 |
Research Associate Fraunhofer-IIS Indoor localization with data-driven methods |
| 04/2019 – 10/2020 |
M. Sc. Electrical engineering and information technology Nuremberg Institute of Technology Topic: “NLOS detection using UWB Channel Impulse Responses and Generative Deep Learning approaches” |
| 10/2015 – 03/2019 | B. Eng. Electrical engineering and information technology Nuremberg Institute of Technology Topic: “Evaluation selbstlernender Methoden zur logischen Ortung mit UWB Signalen” |
| 09/2017 – 10/2020 | Research assistant Fraunhofer-IIS Implementation of localization algorithms in C++ and Python. Investigations of machine learning methods to improve localization algorithms. |
| 01/2017 – 08/2017 | Research assistant Friedrich-Alexander-University Erlangen-Nürnberg Investigations of approaches for printing electric circuits |
| 07/2010 – 08/2014 | Software Engineer Ingentis Object oriented programming and conception of software projects in C# .Net. |
2024
- Brasseler L., Stahlke M., Altstidl TR., Feigl T., Mutschler C.:
Non-Line-of-Sight Detection for Radio Localization using Deep State Space Models
14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) (Hong Kong, 14. October 2024 - 17. October 2024)
In: The fourteenth International Conference on Indoor Positioning and Indoor Navigation 2024 (IPIN 2024) 2024
BibTeX: Download - Gambietz M., Dröge A., Schüßler C., Stahlke M., Wirth V., Miehling J., Koelewijn A.:
Unobtrusive Gait Reconstructions using Radar-based Optimal Control Simulations
Asilomar Conference on Signals, Systems, and Computers
BibTeX: Download - Ott J., Pirkl J., Stahlke M., Feigl T., Mutschler C.:
Radio Foundation Models: Pre-training Transformers for 5G-based Indoor Localization
2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) (Hong Kong, China, 14. October 2024 - 17. October 2024)
In: The fourteenth edition of the International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2024
BibTeX: Download - Ott J., Stahlke M., Feigl T., Mutschler C.:
Estimating Multipath Component Delays with Transformer Models
In: IEEE Journal of Indoor and Seamless Positioning and Navigation (2024), p. 1-10
ISSN: 2832-7322
DOI: 10.1109/JISPIN.2024.3422908
BibTeX: Download - Stahlke M., Feigl T., Kram S., Eskofier B., Mutschler C.:
Uncertainty-Based Fingerprinting Model Monitoring for Radio Localization
In: IEEE Journal of Indoor and Seamless Positioning and Navigation (2024)
ISSN: 2832-7322
Open Access: https://ieeexplore.ieee.org/abstract/document/10526425
BibTeX: Download
2023
- Ott J., Stahlke M., Kram S., Feigl T., Mutschler C.:
Multipath Delay Estimation in Complex Environments using Transformer
13th International Conference on Indoor Positioning and Indoor Navigation (IPIN) (Nuremberg, Germany, 25. September 2023 - 28. September 2023)
In: Proc. 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023) 2023
DOI: 10.1109/IPIN57070.2023.10332470
BibTeX: Download - Stahlke M., Feigl T., Kram S., Eskofier B., Mutschler C.:
Uncertainty-based Fingerprinting Model Selection for Radio Localization
13th International Conference on Indoor Positioning and Indoor Navigation (IPIN) (Nuremberg, Germany, 25. September 2023 - 28. September 2023)
In: Proc. 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023) 2023
DOI: 10.1109/IPIN57070.2023.10332531
BibTeX: Download - Stahlke M., Yammine G., Feigl T., Eskofier B., Mutschler C.:
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach
In: IEEE Transactions on Machine Learning in Communications and Networking 1 (2023), p. 1-15
ISSN: 2831-316X
DOI: 10.1109/TMLCN.2023.3256964
BibTeX: Download
2022
- Kram S., Kraus C., Stahlke M., Feigl T., Thielecke J., Mutschler C.:
Delay Estimation in Dense Multipath Environments using Time Series Segmentation
IEEE Wireless Communications and Networking Conference (WCNC) (Austin, Texas, 10. April 2022 - 13. April 2022)
In: Proc. Intl. Conf. IEEE Wireless Communications and Networking Conference (WCNC) 2022
DOI: 10.1109/WCNC51071.2022.9771875
BibTeX: Download - Stahlke M., Feigl T., Castañeda García MH., Richard A. SG., Seitz J., Mutschler C.:
Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments
IEEE 95th Vehicular Technology Conference (VTC-Spring) (Helsinki, 19. June 2022 - 22. June 2022)
In: Proc. Intl. Conf. IEEE Vehicular Technology Conference (VTC-Spring) 2022
DOI: 10.1109/VTC2022-Spring54318.2022.9860906
BibTeX: Download
2021
- Altstidl TR., Kram S., Herrmann O., Stahlke M., Feigl T., Mutschler C.:
Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning
International Conference on Indoor Positioning and Indoor Navigation (IPIN2021) (Lloret de Mar, 29. November 2021 - 2. December 2021)
In: Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) 2021
DOI: 10.1109/IPIN51156.2021.9662545
BibTeX: Download - Stahlke M., Kram S., Ott F., Feigl T., Mutschler C.:
Estimating TOA Reliability with Variational Autoencoders
In: IEEE Sensors Journal (2021), p. 1-6
ISSN: 1530-437X
DOI: 10.1109/JSEN.2021.3101933
BibTeX: Download
2020
- Stahlke M., Kram S., Mutschler C., Mahr T.:
NLOS detection using UWB channel impulse responses and convolutional neural networks
International Conference on Localization and GNSS (ICL-GNSS) (Tampere, 2. June 2020 - 4. June 2020)
DOI: 10.1109/icl-gnss49876.2020.9115498
BibTeX: Download
2019
- Kram S., Stahlke M., Feigl T., Seitz J., Thielecke J.:
UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis
In: Sensors 24 (2019)
ISSN: 1424-8220
DOI: 10.3390/s19245547
URL: https://www.mdpi.com/1424-8220/19/24/5547
BibTeX: Download - Stahlke M., Kram S., Mumme T., Seitz J.:
Discrete Positioning Using UWB Channel Impulse Responses and Machine Learning
In: 2019 International Conference on Localization and GNSS (ICL-GNSS) 2019
DOI: 10.1109/ICL-GNSS.2019.8752853
BibTeX: Download