Patrick Rebling M.Sc.

Veröffentlichungen

Rebling, P., Alphan, M., & Nenninger, P. (2026). Mind the Gap: Quantifying Behavioral Fidelity in CARLA Using Naturalistic Drone Data. 2026-01–0771. https://doi.org/10.4271/2026-01-0771

Rebling, P., Eußner, C., Rauch, Y., Nenninger, P., & Link, N. (2026). Learning by Brewing: Ein innovatives Lehr-/Lernkonzept für die Automatisierungstechnik. Lessons Learned, 6(1). https://doi.org/10.25369/ll.v6i1.101

Rebling, P., Nenninger, P., & Kriesten, R. (2026). CARLAverse: A Highly Modular, Distributed, and Multimodal Framework for Human-in-the-Loop Simulation (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2609.11478

Rebling, P., Rauch, Y., Sander, N., Nenninger, P., & Kriesten, R. (2026). CycloCARLA: Design, Implementation, and Evaluation of a High-Fidelity Bicycle Simulator. Proceedings of the driving simulation conference 2026 europe XR. DSC 2026 Europe XR, Antibes, France. https://doi.org/10.82157/dsa/2026/23

Plăcintă, S.-N., Rauch, Y., Rebling, P., Balan, I., Nenninger, P., & Poboroniuc, M.-S. (2025). Modern Technologies Used in Powertrain Design of Electric Vehicles. 2025 International Conference on Electromechanical and Energy Systems (SIELMEN), 707–714. https://doi.org/10.1109/SIELMEN67352.2025.11260806

Rebling, P., Beeh, L., Nenninger, P., & Kriesten, R. (2025). Highly-Modular and Immersive Human-in-the-Loop Driving Simulators Using the CARLA Simulation Environment. 9–14. https://personales.upv.es/thinkmind/SIMUL/SIMUL_2025/simul_2025_1_20_50017.html

Rebling, P., Kriesten, R., & Nenninger, P. (2025). A Conceptual Framework for AI-based Explainable Driver Behavior in Human-in-the-loop Simulators. AHFE HAWAII International Conference (AHFE HAWAII 2025). https://doi.org/10.54941/ahfe1006899

Rebling, P., & Nenninger, P. (2025, November 7). KI-gestützte Fahrverhaltensmodelle für Testumgebungen zur Validierung autonomer Fahrzeuge in Mischverkehr. Anwendungsorientierte KI in der technischen Praxis. FBTEI-VDE Symposium Hochschule und Forschung. https://doi.org/10.18725/OPARU-58873

Rebling, P., Kriesten, R., & Nenninger, P. (2024). Towards the Interpretation of Customizable Imitation Learning of Human Driving Behavior in Mixed Traffic Scenarios. 2024-01–2009. https://doi.org/10.4271/2024-01-2009

Brügel, L., Machauer, J., Wiedewilt, J., Rebling, P., & Sommer, F. (2023). Extension of a Unity Simulation Environment with a LiDAR Sensor. In Reports on Energy Efficient Mobility – Volume 3 (Bd. 3, S. 130–139).

Rebling, P., Weber, M., Weiß, T., Gechter, F., Kriesten, R., & Nenninger, P. (2023). Enhancement of Visual SLAM Precision Using Semantic Image Segmentation for Automotive Systems. AI for Time Series, Robotics and Beyond, The Upper Rhine Artificial Intelligence Symposium, 184–193. https://doi.org/10.60643/urai.v2023

Sommer, F., Gierl, M., & Rebling, P. (2023). Vehicle Network Platforms for Automotive Security Testing. In Reports on Energy Efficient Mobility – Volume 3 (Bd. 3, S. 72–99).

Rebling, P. (2022). Aufbau und Entwicklung eines Fahrradsimulators. Fahrradlabor Hochschule Karlsruhe, 1(1), 57–64. https://doi.org/10.5281/zenodo.6703970

Rebling, P., Marmein, A.-L., Kugler, M., Rauch, Y., Zimmermann, M., & Sommer, F. (2021). Development and Testing of Driver Assistance Systems with Unity. In D. Fessler, M. Kettner, R. Kriesten, & P. Nenninger (Hrsg.), Reports on Energy Efficient Mobility – Volume 1 (S. 51–55). Zenodo. https://doi.org/10.5281/zenodo.4569339