Hoffmann, Marcel

Marcel Hoffmann, M. Sc.

Project Management: Automotive Radar & Virtual Radar Worlds

Department of Electrical-Electronic-Communication Engineering
Institute of Microwaves and Photonics (LHFT)

Room: Raum 06.220
Cauerstr. 9
91058 Erlangen

Education

  • B.Sc. in EEI from October 2012 to September 2016
  • M.Sc. in EEI from October 2016 to August 2018
  • Doctoral Candidate at LHFT since September 2018

Research Areas

  • Radar signal processing
  • Automotive SAR and ISAR
  • Radar and Lidar Gridmapping
  • Radar-based ego-motion estimation
  • Classification and detection of radar targets with machine learning
  • segmentation of camera, lidar and radar images, and approaches for automated annotation of radar data

Thesis

Feel free to contact me if you are interested in any of the topics mentioned above.

Publications

  • 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, Mai, 2024.
  • T. Noegel, O. Sura, C. Schüßler, M. Hoffmann and M. Vossiek, "Assessment of OFDM Radar in Automotive and Joint Communication and Sensing Scenarios using Realistic Ray Tracing Simulations", in Proceedings of the ICMIM 2024: International Conference on Microwaves for Intelligent Mobility - 7th IEEE MTT Conference, pp. 107-110, Boppard, DEU, 2024.
  • 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
  • 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
  • Y. Jin, M. Hoffmann, A. Deligiannis, J. Fuentes-Michel and M. Vossiek, "Semantic Segmentation-Based Occupancy Grid Map Learning With Automotive Radar Raw Data", IEEE Transactions on Intelligent Vehicles, pp. 1-16, 2023.
    DOI: 10.1109/TIV.2023.3322353
  • M. Hoffmann, S. Braun, O. Sura, M. Stelzig, C. Schüßler, K. Graichen and M. Vossiek, "Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images", in Proceedings of the Proceedings of the IEEE Radar Conference, Sydney, NSW, 2023.
    DOI: 10.1109/RADAR54928.2023.10371183
  • 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. 13 - 18, 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