Schüßler, Christian
Christian Schüßler, M.Eng.
Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Hochfrequenztechnik
Cauerstr. 9
91058 Erlangen
- Telefon: +49 9131 85-28676
- Faxnummer: +49 9131 85-27212
- E-Mail: christian.schuessler@fau.de
Akademische Ausbildung
- B.Eng & M.Eng in Elektro- und Informationstechnik, TH Nürnberg, 2010-2015
- Doktorand am LHFT seit Mai 2019
Forschungsgebiete
- Machine Learning für Radarsignalverarbeitung
- Radarsimulation
- Automotive-Radar
Abschlussarbeiten
Themen für Abschlussarbeiten können vorallem im Bereich Radarsignalverarbeitung und Machine-Learning angeboten werden. Bei Wunsch bitte per E-mail auf mich zukommen und es kann gemeinsam ein passendes Thema erarbeitet werden.
Neueste Veröffentlichungen
- C. Schüßler, W. Zhang, J. Bräunig, M. Hoffmann, M. Stelzig and M. Vossiek, "Radar-Based Recognition of Static Hand Gestures in American Sign Language", in Proceedings of the 2024 IEEE Radar Conference, Denver, Colorado, USA, Mai, 2024.
- J. Bräunig, D. Mejdani, D. Krauß, S. Grießhammer, R. Richer, C. Schüßler, J. Yip, T. Steigleder, C. Ostgathe, B. Eskofier and M. Vossiek, "Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning", in Proceedings of the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, November, 2023.
DOI: 10.1109/BHI58575.2023.10313506 - M. Hoffmann, T. Noegel, C. Schüßler, L. Schwenger, P. Gulden, D. Fey and M. Vossiek, "Implementation of Real-Time Automotive SAR Imaging", in Proceedings of the 2023 20th European Radar Conference, Berlin, Oktober, 2023.
DOI: 10.23919/EuRAD58043.2023.10289475 - Y. Jin, Y. Kuang, M. Hoffmann, C. Schüßler, A. Deligiannis, J. Fuentes-Michel and M. Vossiek, "Radar and Lidar Deep Fusion: Providing Doppler Contexts to Time-of-Flight Lidar", IEEE Sensors Journal, vol. 23, no. 20, pp. 25587-25600, Oktober, 2023.
DOI: 10.1109/JSEN.2023.3313093 - J. Bräunig, V. Wirth, C. Kammel, C. Schüßler, I. Ullmann, M. Stamminger and M. Vossiek, "An Ultra-Efficient Approach for High-Resolution MIMO Radar Imaging of Human Hand Poses", IEEE Transactions on Radar Systems, pp. 1-13, August, 2023.
DOI: 10.1109/TRS.2023.3309574 - C. Schüßler, M. Hoffmann and M. Vossiek, "Super-Resolution Radar Imaging With Sparse Arrays Using a Deep Neural Network Trained With Enhanced Virtual Data", IEEE Journal of Microwaves, vol. 3, no. 3, pp. 980-993, Juli, 2023.
DOI: 10.1109/JMW.2023.3285610 - C. Schüßler, M. Hoffmann, V. Wirth, B. Eskofier, T. Weyrich, M. Stamminger and M. Vossiek, "Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator", in Proceedings of the IEEE Xplore, 2023 IEEE Radar Conference (RadarConf23). San Antonio, TX, US, Juni, 2023.
DOI: 10.1109/RadarConf2351548.2023.10149641 - J. Bräunig, C. Schüßler, V. Wirth, M. Stamminger, I. Ullmann and M. Vossiek, "A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging", in Proceedings of the EuRAD 2023, Berlin, 2023.
- M. Hoffmann, L. Krabbe, C. Schüßler, P. Gulden and M. Vossiek, "Instantaneous Ego-Motion Estimation Using a Coherent Radar Network", in Proceedings of the 2022 19th European Radar Conference (EuRAD), Milan, Italy, Oktober, 2022.
DOI: 10.23919/EuRAD54643.2022.9924633 - M. Hoffmann, T. Noegel, C. Schüßler, M. Vossiek, M. Schütz and P. Gulden, "Filter-based Segmentation of Automotive SAR Images", in Proceedings of the 2022 IEEE Radar Conference, New York City, Mai, 2022.
DOI: 10.1109/RadarConf2248738.2022.9764276 - C. Schüßler, M. Hoffmann, I. Ullmann, R. Ebelt and M. Vossiek, "Deep Learning Based Image Enhancement for Automotive Radar Trained with an Advanced Virtual Sensor", IEEE Access, pp. 1-1, April, 2022.
DOI: 10.1109/ACCESS.2022.3166227 - C. Schüßler, M. Hoffmann, R. Ebelt, I. Weber and M. Vossiek, "Position and Velocity Fusion Using Multiple Monostatic Radar Sensors for Automotive Applications", in Proceedings of the 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, Mai, 2021.
DOI: 10.1109/RadarConf2147009.2021.9455309 - C. Schüßler, M. Hoffmann, J. Bräunig, I. Ullmann, R. Ebelt and M. Vossiek, "A Realistic Radar Ray Tracing Simulator for Large MIMO-Arrays in Automotive Environments", IEEE Journal of Microwaves, pp. 1-13, 2021.
DOI: 10.1109/JMW.2021.3104722