Strohbeck Jan, M. Sc.
Research
- Usage of infrastructure sensors for motion prediction of traffic participants using deep neural networks
- Uncertainty estimation for motion prediction of traffic participants using deep neural networks and Gaussian processes (Deep Kernel Learning)
- Software-in-the-loop simulation for testing motion planning schemes, using deep trajectory prediction networks
- Project LUKAS
Teaching
- Exercises for the lecture "Fahrassistenzsysteme"
Publications
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 |
| File: | 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 |
| File: | https://oparu.uni-ulm.de/xmlui/handle/123456789/50814 |
J. Strohbeck,
S. Maschke,
M. Mertens and
M. Buchholz,
"Graph-Based Trajectory Prediction with Cooperative Information"
in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC),
2023,
pp. 1300-1306.
| DOI: | 10.1109/ITSC57777.2023.10422060 |
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 |
| File: | 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 |
| File: | 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 |
| File: | 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 |
| File: | 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 |
| File: | 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 |
| File: | 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),
Oct.
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,
Oct.
2019,
pp. 3928-3933.
| DOI: | 10.1109/ITSC.2019.8917310 |
