Prof. Dr. rer. nat. Martin Ebert

Programme director "Autonomous Vehicle Engineering" (B. Eng.)

+49 841 9348-3804

Martin.Ebert@thi.de

Room: A118

Subject Area: Technical Computer Science and Automated Driving

Faculty: Fakultät E

Research

Development of new software-test methods for algorithms in the domain of automated driving

Vita

Since 2019 at THI
2013 - 2019: P3 Systems GmbH, last position: Senior Manager Cluster ADAS
2009 - 2012: Research associate, Forschungszentrum Jülich GmbH, Institute for Neuromodulation
2012: PhD at university of Cologne, Topic: „Control of synchronization via electrical stimulation in a large-scale neuronal network model“
2004 - 2009: Diploma in physics, minor: mathematics at university of Cologne

Publications

2026

ULREICH, Fabian, Maikol FUNK DRECHSLER, Yuri POLEDNA, Pak Hung CHAN, Tuomas HERRAREN, Martin EBERT, André KAUP und Werner HUBER, 2026. Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving. 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES). Piscataway: IEEE, Page 57-64. ISBN 978-1-6654-7778-9. Available at: https://doi.org/10.1109/ICVES65691.2025.11376043

2025

ROTH, Carla, Fabian ULREICH und Martin EBERT, 2025. Domain Awareness via Spectral-normalized Neural Gaussian Processes for E2E Autonomous Vehicle Control. 2025 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 1668-1673. ISBN 979-8-3315-3803-3. Available at: https://doi.org/10.1109/IV64158.2025.11097444

ULREICH, Fabian, André KAUP und Martin EBERT, 2025. Novel Test Bench for End-to-End Validation of Monocular Depth Estimation Under the Influence of Glaring Situations. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). Piscataway: IEEE, Page 2426-2432. ISBN 979-8-3315-0592-9. Available at: https://doi.org/10.1109/ITSC58415.2024.10920009

2024

ULREICH, Fabian, André KAUP und Martin EBERT, 2024. Uncertainty Quantification for Adaptive Measurement Noise in Kalman Filter Based Object Tracking. 2024 Sensor Data Fusion: Trends, Solutions, Applications (SDF). Piscataway: IEEE. ISBN 979-8-3315-2744-0. Available at: https://doi.org/10.1109/SDF63218.2024.10773809

2023

ULREICH, Fabian, Elisabeth MOSER, Florian OLBRICH, Martin EBERT, Rudolf BIERL und André KAUP, 2023. Luminance Simulation in CARLA under Cloud Coverage - Model Validation and Implications. 2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive): Proceedings. Piscataway: IEEE, Page 228-233. ISBN 979-8-3503-2187-6. Available at: https://doi.org/10.1109/MetroAutomotive57488.2023.10219098

2019

WEBER, Tobias, Emec ERCELIK, Martin EBERT und Alois KNOLL, 2019. Recognition & evaluation of additional traffic signs on the example of ’80 km/h when wet’. The 2019 IEEE Intelligent Transportation Systems Conference - ITSC. Piscataway: IEEE, Page 4134-4139. ISBN 978-1-5386-7024-8. Available at: https://doi.org/10.1109/ITSC.2019.8916950

2014

EBERT, Martin, Christian HAUPTMANN und Peter Alexander TASS, 2014. Coordinated reset stimulation in a large-scale model of the STN-GPe circuit. Frontiers in Computational Neuroscience, 8, 154. ISSN 1662-5188. Available at: https://doi.org/10.3389/fncom.2014.00154

2013

SCHULZE, Ralf, László SZENTMIKLÓSI, Petra KUDEJOVA, Lea CANELLA, Zoltán KIS, Tamás BELGYA, Jan JOLIE, Martin EBERT, Thomas MATERNA, Katalin T. BIRÓ und Zsuzsa HAJNAL, 2013. The ANCIENT CHARM project at FRM II: three-dimensional elemental mapping by prompt gamma activation imaging and neutron tomography. Journal of Analytical Atomic Spectrometry, 28(9), 1508-1512. ISSN 1364-5544. Available at: https://doi.org/10.1039/C3JA50162K

2011

HOFMANN, Lorenz, Martin EBERT, Peter Alexander HAUPTMANN und Christian HAUPTMANN, 2011. Modified pulse shapes for effective neural stimulation. Frontiers in Neuroengineering, 4, 9. Available at: https://doi.org/10.3389/fneng.2011.00009