Forschungszentrum für kooperative, hochautomatisierte Fahrerassistenzsysteme und Fahrfunktionen

Aktuelle Veröffentlichungen

Im Folgenden finden Sie eine Auswahl an aktuellen Arbeiten aus dem Bereich F3.

2025

  • Basler, M., Grathwohl, A., Grebner, T., Riekenbrauck, R., & Waldschmidt, C. (2025). Experimental Comparison Between 77 GHz Automotive Radar and 5G Sub-6 GHz Imaging. IEEE, 1–6. https://doi.org/10.1109/jcs64661.2025.10880634
  • Colley, M., Jansen, P., Keskar, M., & Rukzio, E. (2025). Improving external communication of automated vehicles using Bayesian optimization. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (Article 80, 1–16). Association for Computing Machinery. https://doi.org/10.1145/3706598.3714187
  • Jansen, P., Colley, M., Krauß, S., Hirschle, D., & Rukzio, E. (2025). OptiCarVis: Improving automated vehicle functionality visualizations using Bayesian optimization to enhance user experience. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (Article 85, 1–23). Association for Computing Machinery. https://doi.org/10.1145/3706598.3713514
  • Jansen, P., Colley, M., Rädler, M., Schwedler, J. & Rukzio, E. (2025). Longitudinal effects of visualizing uncertainty of situation detection and prediction of automated vehicles on user perceptions. Transportation Research Part F Traffic Psychology And Behaviour, 113, 536–553. https://doi.org/10.1016/j.trf.2025.05.013
  • Meinhardt, L.-M., Schramm, C., Jansen, P., Colley, M., & Rukzio, E. (2025). Fly Away: Evaluating the impact of motion fidelity on optimized user interface design via Bayesian optimization in automated urban air mobility simulations. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (Article 1220, 1–16). Association for Computing Machinery. https://doi.org/10.1145/3706598.3713288
  • Wodtko, T., Griebel, T., Buchholz, M., & Dietmayer, K. (2025). A unified Self-Assessment Framework for autonomous driving stacks using subjective logic. 16. Uni-DAS e.V. Workshop Fahrerassistenz Und Automatisiertes Fahren (FAS-Workshop 2025). https://oparu.uni-ulm.de/items/a7ea0bdd-f443-4c13-a69b-751ffe1911e8
  • Sasalovici, M., Zeqiri, A., Schramm, R. C., Ariza Nunez, O. J., Jansen, P., Freiwald, J. P., Colley, M., Winkler, C., & Rukzio, E. (2025). Bumpy ride? Understanding the effects of external forces on spatial interactions in moving vehicles. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (Article 280, 1–28). Association for Computing Machinery. https://doi.org/10.1145/3706598.3714077
  • Schumann, O., Buchholz, M., & Dietmayer, K. (2025). Dynamic Objective MPC for motion planning of seamless docking maneuvers. IEEE Intelligent Vehicles Symposium (IV), 132–139. https://doi.org/10.1109/iv64158.2025.11097771
  • Buchholz, M., Wodtko, T., Schumann, O., & Authaler, D. (2025). The automation concept of the U-Shift II vehicle. SAE Technical Papers . https://doi.org/10.4271/2025-01-0281

 

2024

  • Kern, N., Schoeder, P., Aguilar, J., & Waldschmidt, C. (2024). Using microwave simulations for the generation of radar data for gesture and activity recognition: Potential and Challenges for Real-World Applications. IEEE Microwave Magazine, 25(11), 18–29. https://doi.org/10.1109/mmm.2024.3444528
  • Janoudi, V., Schoeder, P., Grebner, T., Appenrodt, N., Dickmann, J., & Waldschmidt, C. (2024). On distributed radar networks: signal model, analysis, and signal processing. IEEE Journal of Microwaves, 4(3), 329–347. https://doi.org/10.1109/jmw.2024.3414471
  • Aguilar, J., Werbunat, D., Janoudi, V., Bonfert, C., & Waldschmidt, C. (2024). Uncoupled digital radars creating a coherent sensor network. IEEE Journal of Microwaves, 4(3), 459–472. https://doi.org/10.1109/jmw.2024.3405633
  • Werbunat, D., Aguilar, J., Almarashly, M., Janoudi, V., Stephany, S., Gaviria, D. G., Ulusoy, A. Ç., & Waldschmidt, C. (2024). On the Synchronization of Uncoupled Multistatic PMCW Radars. IEEE Transactions on Microwave Theory and Techniques, 72(8), 4932–4944. https://doi.org/10.1109/tmtt.2024.3359035
  • Kern, N., Schoeder, P., & Waldschmidt, C. (2024). Virtually augmented radar measurements with hardware radar target simulators for machine learning applications. IEEE Sensors Letters, 8(3), 1–4. doi.org/10.1109/lsens.2024.3359693

Weitere Publikationen finden Sie auf den Webseiten der beteiligten Institute: