Publikationen

Showing results 1 - 8 out of 8

Ewering, J. H., Schwarz, C., Ehlers, S. F. G., Jacob, H. G., Seel, T., & Heckmann, A. (2024). Integrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels. IEEE Transactions on Vehicular Technology, 1-13. Advance online publication. https://doi.org/10.48550/arXiv.2309.09769, https://doi.org/10.1109/TVT.2024.3350699
Ehlers, S. F. G., Kortmann, K-P., & Kobler, J. P. (2023). Hybrid State Estimation in a Semitrailer for Different Loading Conditions. IFAC-PapersOnLine, 56(2), 5717-5722. Advance online publication. https://doi.org/10.1016/j.ifacol.2023.10.518
Ehlers, S. F. G., Sourkounis, P., Ziaukas, Z., Kobler, J. P., & Jacob, H-G. (2022). Optimized Tuning of an EKF for State and Parameter Estimation in a Semitrailer. In 15th International Symposium on Advanced Vehicle Control - AVEC'22
Ehlers, S. F. G., Ziaukas, Z., Kobler, J-P., & Jacob, H-G. (2022). State and Parameter Estimation in a Semitrailer for Different Loading Conditions Only Based on Trailer Signals. In Proceedings of the 2022 American Control Conference (ACC) (pp. 2353-2360). (Proceedings of the American Control Conference; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. Advance online publication. https://doi.org/10.23919/ACC53348.2022.9867797
Ehlers, S. F. G., Ziaukas, Z., Kobler, J. P., Busch, A., Ortmaier, T., & Wielitzka, M. (2021). Nichtlineares Zweispurmodell eines LKW-Sattelaufliegers mit experimenteller Validierung der lateralen und vertikalen Reifenkräfte. In VDI Mechatronik 2021 (2 ed.) https://www.academia.edu/81919093/Digital_Fachtagung_MECHATRONIK_2021_Darmstadt_24_25_03_2021_2_Auflage
Ehlers, S. F. G., Stuede, M., Nülle, K., & Ortmaier, T. (2020). Map Management Approach for SLAM in Large-Scale Indoor and Outdoor Areas. In 2020 IEEE International Conference on Robotics and Automation, ICRA 2020 (pp. 9652-9658). Article 9196997 https://doi.org/10.1109/icra40945.2020.9196997
Ehlers, S. F. G. (2019). Traffic Queue Length and Pressure Estimation for Road Networks with Geometric Deep Learning Algorithms. Leibniz Universität Hannover. Advance online publication. https://doi.org/10.48550/arXiv.1905.03889
Wright, M. M., Ehlers, S. F. G., & Horowitz, R. (2019). Neural-attention-based deep learning architectures for modeling traffic dynamics on lane graphs. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 3898-3905). IEEE. Advance online publication. https://doi.org/10.48550/arXiv.1904.08831, https://doi.org/10.1109/ITSC.2019.8917174