Strohbeck Jan, M. Sc.

Forschung

  • Prädiktion des Verhaltens von Verkehrsteilnehmern, insbesondere an Kreuzungen, mithilfe von neuronalen Netzen
  • Unsicherheitsschätzung für Bewegungsprädiktion von Verkehrsteilnehmern mit neuronalen Netzen und Gauß-Prozessen (Deep Kernel Learning)
  • Software-in-the-loop Simulation zum Testen von Bewegungsplanungsalgorithmen, mithilfe von neuronalen Netzen zur Trajektorienprädiktion
  • Projekt LUKAS 

Lehre

  • Übung zur Vorlesung Fahrassistenzsysteme

Veröffentlichungen

ResearchGate Profil
IEEE Xplore Profil
ORCID Profil

 

Preprints

J. Strohbeck, S. Maschke, M. Mertens, M. Buchholz, "Graph-based Trajectory Prediction with Cooperative Information," accepted for publication at 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023. Preprint: https://arxiv.org/abs/2310.15692

 

2024

M. Colley, O. Speidel, J. Strohbeck, J. O. Rixen, J. H. Belz and E. Rukzio, "Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive Load", Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 7, no. 4, Jan. 2024. Association for Computing Machinery.
DOI:10.1145/3631408
Datei:https://doi.org/10.1145/3631408

2023

A. Tsaregorodtsev, A. Holzbock, J. Strohbeck, M. Buchholz and V. Belagiannis, "Automated Static Camera Calibration with Intelligent Vehicles" in 2023 IEEE Intelligent Vehicles Symposium (IV), 2023, pp. 1-7.
DOI:10.1109/IV55152.2023.10186662
Datei:https://oparu.uni-ulm.de/xmlui/handle/123456789/50814

2022

J. Strohbeck, J. Müller, M. Herrmann and M. Buchholz, "Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks" in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, pp. 11396-11402.
DOI:10.1109/IROS47612.2022.9982167
A. Tsaregorodtsev, J. Müller, J. Strohbeck, M. Herrmann, M. Buchholz and V. Belagiannis, "Extrinsic Camera Calibration with Semantic Segmentation" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3781-3787.
DOI:10.1109/ITSC55140.2022.9922338
Datei:https://oparu.uni-ulm.de/xmlui/handle/123456789/47119
M. Buchholz, J. Müller, M. Herrmann, J. Strohbeck, B. Völz, M. Maier, J. Paczia, O. Stein, H. Rehborn and R. Henn, "Handling Occlusions in Automated Driving Using a MEC Server-based Environment Model From Infrastructure Sensors", IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 3, pp. 106-120, 2022.
DOI:10.1109/MITS.2021.3089743
Datei:https://oparu.uni-ulm.de/xmlui/handle/123456789/43791
M. Henning, J. Strohbeck, M. Buchholz and K. Dietmayer, "Identification of Threat Regions From a Dynamic Occupancy Grid Map for Situation-Aware Environment Perception" in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2022, pp. 805-810.
DOI:10.1109/ITSC55140.2022.9922163
ISBN:978-1-6654-6881-7
[de] J. Müller, J. Strohbeck, M. Mertens and M. Buchholz, "Kontextbasierte Bewegungsplanung automatisierter Fahrzeuge an Kreuzungen mit vernetzten Lichtsignalanlagen" in 14. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, Uni-DAS e.V., 2022, pp. 11-19.
DOI:https://doi.org/10.18725/OPARU-43451
ISBN:978-3-941543-65-2
Datei:https://oparu.uni-ulm.de/xmlui/handle/123456789/43527
J. Müller, J. Strohbeck, M. Herrmann and M. Buchholz, "Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors", IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17479-17490, 2022.
DOI:10.1109/TITS.2022.3152628
Datei:https://ieeexplore.ieee.org/document/9724161
M. Herrmann, T. Luchterhand, C. Hermann, T. Wodtko, J. Strohbeck and M. Buchholz, "Notes on the Product Multi-Sensor Generalized Labeled Multi-Bernoulli Filter and its Implementation" in 2022 25th International Conference on Information Fusion (FUSION), 2022, pp. 1-8.
DOI:10.23919/FUSION49751.2022.9841275
Datei:https://ieeexplore.ieee.org/document/9841275

2021

J. Strohbeck, M. Herrmann, J. Müller and M. Buchholz, "An Extension Proposal for the Collective Perception Service to Avoid Transformation Errors and Include Object Predictions" in 2021 IEEE Vehicular Networking Conference (VNC), 2021, pp. 40-43.
DOI:10.1109/VNC52810.2021.9644655
J. Strohbeck, J. Müller, A. Holzbock and M. Buchholz, "DeepSIL: A Software-in-the-Loop Framework for Evaluating Motion Planning Schemes Using Multiple Trajectory Prediction Networks" in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 7075-7081.
DOI:10.1109/IROS51168.2021.9636423

2020

M. Buchholz, J. Strohbeck, A. Adaktylos, F. Vogl, G. Allmer, S. Cabrero Barros, Y. Lassoued, M. Wimmer, B. Haetty, G. Massot, C. Ponchel, M. Bretin, V. Sourlas and A. Amditis, "Enabling automated driving by ICT infrastructure: a reference architecture" in 8th Transp. Res. Arena TRA 2020 (conf. cancelled), 2020.
DOI:10.18725/OPARU-26023
Datei:https://oparu.uni-ulm.de/xmlui/handle/123456789/26086
M. Herrmann, A. Piroli, J. Strohbeck, J. Müller and M. Buchholz, "LMB Filter Based Tracking Allowing for Multiple Hypotheses in Object Reference Point Association" in 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), IEEE, Sep. 2020.
DOI:10.1109/mfi49285.2020.9235251
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" in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 1992-1998.
DOI:10.1109/IROS45743.2020.9341327

2019

M. Herrmann, J. Müller, J. Strohbeck and M. Buchholz, "Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter *" in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Okt. 2019, pp. 2414 - 2420.
DOI:10.1109/ITSC.2019.8916923
J. Müller, M. Herrmann, J. Strohbeck, V. Belagiannis and M. Buchholz, "LACI: Low-effort Automatic Calibration of Infrastructure Sensors" in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, Okt. 2019, pp. 3928-3933.
DOI:10.1109/ITSC.2019.8917310

Funktion

Wissenschaftlicher Mitarbeiter

Kontakt

Strohbeck Jan, M. Sc.
Raum: 41.2.216
Telefon: +49 (0)731 50 27026
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