Hoffmann, Marcel

Marcel Hoffmann, M. Sc.

Project Management: Automotive Radar & Virtual Radar Worlds

Department Elektrotechnik-Elektronik-Informationstechnik (EEI)
Lehrstuhl für Hochfrequenztechnik

Raum: Raum 06.220
Cauerstr. 9
91058 Erlangen

Akademische Ausbildung

  • B.Sc. in EEI von Oktober 2012 bis September 2016
  • M.Sc. in EEI von Oktober 2016 bis August 2018
  • Doktorand am LHFT seit September 2018

Forschungsgebiete

  • Radarsignalverarbeitung
  • Automotive SAR und ISAR
  • Radar- und Lidar-Gridmapping
  • Radarbasierte Ego-Motion Estimation
  • Klassifikation und Detektion von Radarzielen mit maschinellem Lernen
  • Segmentierung von Kamera-, Lidar- und Radarbildern sowie Ansätze zur automatisierten Annotation von Radardaten

Abschlussarbeiten

Es entstehen regelmäßig neue Themen für Abschlussarbeiten in den oben genannten Fachgebieten.

Neueste Veröffentlichungen

  • 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
  • F. Snobar, J. Reinhard, H. Huber, M. Hoffmann, M. Stelzig, M. Vossiek and K. Graichen, "FOV-based model predictive object tracking for quadcopters", in Proceedings of the 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022), pp. 18 - 23, Los Angeles, CA (USA), 2022.
    DOI: 10.1016/j.ifacol.2022.10.481
  • G. Körner, M. Hoffmann, P. Stief, M. Zhang, R. Rückert, C. Herglotz, A. Kaup and M. Vossiek, "Applicability and Performance of Standard Compression Methods for Efficient Data Transmission and Storage in Radar Networks", IEEE Journal of Microwaves, vol. 2, no. 1, pp. 78-96, November, 2021.
    DOI: 10.1109/JMW.2021.3119781
  • 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
  • G. Körner, M. Hoffmann, S. Neidhardt, M. Beer, C. Carlowitz and M. Vossiek, "Multirate Universal Radar Target Simulator for an Accurate Moving Target Simulation", IEEE Transactions on Microwave Theory and Techniques, vol. 5, no. 69, pp. 2730 - 2740, März, 2021.
    DOI: 10.1109/TMTT.2021.3060817
  • M. Gottinger, M. Hoffmann, M. Christmann, M. Schütz, F. Kirsch, P. Gulden and M. Vossiek, "Coherent Automotive Radar Networks: The Next Generation of Radar-Based Imaging and Mapping", IEEE Journal of Microwaves, vol. 1, no. 1, pp. 149 - 163, Januar, 2021.
    DOI: 10.1109/JMW.2020.3034475
  • 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
  • M. Gottinger, M. Hoffmann and M. Vossiek, "Wireless coherent full-duplex double-sided two-way ranging (CFDDS-TWR) approach with phase tracking based multipath suppression for submillimeter accuracy displacement sensing", IEEE MTT-S International Microwave Symposium Digest, vol. 2020-August, pp. 1145-1148, August, 2020.
    DOI: 10.1109/IMS30576.2020.9224105
  • R. Prophet, M. Hoffmann, A. Ossowska, W. Malik, C. Sturm and M. Vossiek, "Image-Based Pedestrian Classification for Automotive Radar", in Proceedings of the 15th European Radar Conference (EuRAD 2018), Madrid, September, 2018.
    DOI: 10.23919/EuRAD.2018.8546611
  • R. Prophet, M. Hoffmann, A. Ossowska, W. Malik, C. Sturm and M. Vossiek, "Pedestrian Classification for 79 GHz Automotive Radar Systems", in Proceedings of the 29th IEEE Intelligent Vehicles Symposium, Chang Shu, Juni, 2018.
    DOI: 10.1109/ivs.2018.8500554
  • R. Prophet, H. Stark, M. Hoffmann, C. Sturm and M. Vossiek, "Adaptions for Automotive Radar Based Occupancy Gridmaps", in Proceedings of the IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2018), Munich, April, 2018.
    DOI: 10.1109/icmim.2018.8443484
  • R. Prophet, M. Hoffmann, M. Vossiek, C. Sturm, A. Ossowska, W. Malik and U. Lubbert, "Pedestrian Classification with a 79 GHz Automotive Radar Sensor", in Proceedings of the 19th International Radar Symposium, 2018.
    DOI: 10.23919/IRS.2018.8448161
  • R. Prophet, M. Hoffmann, M. Vossiek and G. Li, "Parking space detection from a radar based target list", in Proceedings of the IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM 2017), Nagoya, JP, 2017.
    DOI: 10.1109/ICMIM.2017.7918864
  • M. Pöpperl, M. Gottinger, M. Hoffmann, R. Jakoby and M. Vossiek, "A novel UWB chirp sequence radar signal processing concept for chipless RFID based vehicle localization", in Proceedings of the 2017 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), pp. 123-126, Nagoya, Japan, 2017.
    DOI: 10.1109/ICMIM.2017.7918872