Research Interests

• Multi-sensor multi-object tracking and sensor data fusion
• Autonomous and cooperative driving using infrastructure based sensor data

 Teaching

• Exercise Supervisor in Identifikation dynamischer Systeme
• Supervision of the experiment "Prozessmesstechnik" in Praktikum Mess- und Automatisierungstechnik
• Supervision of the experiment "Schwebender Körper" in Praktikum Regelungstechnik

Student Job and Thesis Opportunities

• Studentische Arbeiten (visible from the Ulm University network only)

 Projects

• LUKAS
• ICT4CART (completed)
• MEC-View (completed)

List of Publications

Journals

1. J. Müller, J. Strohbeck, M. Herrmann, M. Buchholz, "Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors," IEEE Transactions on Intelligent Transportation Systems., 2022.
   doi: https://doi.org/10.1109/TITS.2022.3152628 
   URL: https://ieeexplore.ieee.org/document/9724161
2. M. Herrmann, C. Hermann, M. Buchholz, "Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter," IEEE Transactions on Signal Processing., vol. 69, pp. 5159-5174, Sept. 2021.
   doi: https://doi.org/10.1109/TSP.2021.3107632
   URL: https://ieeexplore.ieee.org/document/9524466
3. M. Buchholz, J Müller, M. Herrmann, J. Strohbeck, B. Völz, M. Maier, J. Paczia, O. Stein, H. Rehborn,R.-W. Henn, "Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 3, pp. 106-120, May-June 2022.
   doi: https://doi.org/10.1109/MITS.2021.3089743
   URL: https://ieeexplore.ieee.org/document/9481097

Conference articles

1. A. Scheible, T. Griebel, M. Herrmann, C. Hermann, M. Buchholz, "Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking," combined IEEE 2023 Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023.
2. M. Herrmann, C. Hermann, K. Dietmayer and M. Buchholz, "Random-Finite-Set-basiertes Multisensor-Multiobjekttracking für automatisierte und vernetzte Fahrzeuge: Aktueller Forschungsstand und offene Fragen," 15th Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren (FAS-WS), 2023.
   doi: http://dx.doi.org/10.18725/OPARU-51245 
   URL: https://www.uni-das.de/images/pdf/fas-workshop/2023/FAS2023-Tagungsband.pdf 
3. M. Herrmann, T. Luchterhand, C. Hermann and M. Buchholz, "The Product Multi-Sensor Labeled Multi-Bernoulli Filter," 26th International Conference on Information Fusion (FUSION), 2023
   doi: https://doi.org/10.23919/FUSION52260.2023.10224121
   URL: https://ieeexplore.ieee.org/document/10224121
4. C. Hermann, M. Herrmann, T. Griebel, M. Buchholz and K. Dietmayer, "The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter," 26th International Conference on Information Fusion (FUSION), 2023
   doi: https://doi.org/10.23919/FUSION52260.2023.10224189
   URL: https://ieeexplore.ieee.org/document/10224189
5. Jan Strohbeck, Johannes Müller, Martin Herrmann, Michael Buchholz, "Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks," 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022, pp. 11396-11402
   doi: https://doi.org/10.1109/IROS47612.2022.9982167 
   URL: https://ieeexplore.ieee.org/document/9982167 
6. A. Tsaregorodtsev, J. Muller, J. Strohbeck, M. Herrmann, M. Buchholz and V. Belagiannis, "Extrinsic Camera Calibration with Semantic Segmentation," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3781-3787
   doi: https://doi.org/10.1109/ITSC55140.2022.9922338
   URL: https://ieeexplore.ieee.org/document/9922338
7. M. Herrmann, T. Luchterhand, C. Hermann, T. Wodtko, J. Strohbeck, M. Buchholz, "Notes on the Product Multi-Sensor generalized Labeled Multi-Bernoulli Filter and its Implementation," 25th International Conference on Information Fusion (FUSION), 2022.
   doi: https://doi.org/10.23919/FUSION49751.2022.9841275 
   URL: https://ieeexplore.ieee.org/document/9841275 
8. Thomas Griebel, Johannes Müller, Paul Geisler, Charlotte Hermann, Martin Herrmann, Michael Buchholz, Klaus Dietmayer, "Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic," 25th International Conference on Information Fusion (FUSION), 2022.
   doi: https://doi.org/10.23919/FUSION49751.2022.9841294 
   URL: https://ieeexplore.ieee.org/document/9841294 
9. J. Strohbeck, M. Herrmann, J. Müller, M. Buchholz, "An Extension Proposal for the Collective Perception Service to Avoid Transformation Errors and Include Object Predictions," 2021 IEEE Vehicular Networking Conference (VNC), 2021, pp. 40-43.
   doi: https://doi.org/10.1109/VNC52810.2021.9644655 
   URL: https://ieeexplore.ieee.org/document/9644655 
10. J. Strohbeck, V. Belagiannis, J. Müller, M. Schreiber, M. Herrmann, D. Wolf and M. Buchholz, "Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks," 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), LV, 2020, pp. 1992-1998.
    doi: https://doi.org/10.1109/IROS45743.2020.9341327 
    URL: https://ieeexplore.ieee.org/document/9341327
11. M. Herrmann, A. Piroli, J. Strohbeck, J. Müller and M. Buchholz, "LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association," 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Karlsruhe, Germany, 2020, pp. 197-203.
    doi: https://doi.org/10.1109/MFI49285.2020.9235251 
    URL: https://ieeexplore.ieee.org/document/9235251
12. M. Herrmann, J. Müller, J. Strohbeck and M. Buchholz, "Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 2414-2420.
    doi: https://doi.org/10.1109/ITSC.2019.8916923 
    URL: https://ieeexplore.ieee.org/document/8916923 
13. J. Müller, M. Herrmann, J. Strohbeck, V. Belagiannis and M. Buchholz, "LACI: Low-effort Automatic Calibration of Infrastructure Sensors," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 3928-3933.
    doi: https://doi.org/10.1109/ITSC.2019.8917310 
    URL: https://ieeexplore.ieee.org/document/8917310 
14. M. Buchholz, M. Herrmann, J. Müller, V. Belagiannis, P. Pavlov, B. Hätty, S. Schulz, R.-W. Henn, "A Digital Mirror: A Mobile Edge Computing Service Based on Infrastructure Sensors," 2018 ITS World Congress Copenhagen, 2018
15. L. M. Schalk and M. Herrmann, "Suitability of LTE for drone-to-infrastructure communications in very low level airspace," 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), St. Petersburg, FL, 2017, pp. 1-7.
    doi: https://doi.org/10.1109/DASC.2017.8102112 
    URL: https://ieeexplore.ieee.org/document/8102112 

Other

1. M. Herrmann, J. Strohbeck, J. Müller, Alexander Tsaregorodtsev, Max Mertens, M. Buchholz, "Automated crossing of urban intersections with external information from connected and intelligent infrastructure," Universität Ulm, 2021.
   doi: http://dx.doi.org/10.18725/OPARU-41344