Publikationen

Showing results 1 - 7 out of 7

Fink, D., Maas, O., Herda, D., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H. G. (2024). Data-Based Energy Demand Prediction for Hybrid Electrical Vehicles. SN Computer Science, 5, Article 192. https://doi.org/10.1007/s42979-023-02475-9
Fink, D., Dues, T., Kortmann, K-P., Blum, P., Schweers, C., & Trabelsi, A. (2023). A Recursive Gaussian Process based Online Driving Style Analysis. In 2023 American Control Conference (ACC) (pp. 3187-3192). (Proceedings of the ... American Control Conference). IEEE. https://doi.org/10.23919/acc55779.2023.10156499
Fink, D., Schulz, Y., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H-G. (2022). Assessment of Algorithms for a Real-Time Optimization of the Vehicle Speed. In Proceedings of the 15th International Symposium on Advanced Vehicle Technology (AVEC '22) (Vol. 15).
Fink, D., Shugar, S., Ziaukas, Z., Schweers, C., Trabelsi, A., & Jacob, H-G. (2022). Energy Demand Prediction in Hybrid Electrical Vehicles for Speed Optimization. In J. Ploeg, J. Ploeg, M. Helfert, K. Berns, & O. Gusikhin (Eds.), Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems (Vol. 1, pp. 116 - 123). (International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS - Proceedings). https://doi.org/10.5220/0011075600003191
Fink, D., Czarnecki, J-D., Wielitzka, M., Schweers, C., & Trabelsi, A. (2021). Fahrstilanalyse zur Erhöhung der Nutzerakzeptanz automatisiert energieeffizienter Fahrzeuglängsführung. In Digital‐Fachtagung VDI MECHATRONIK 2021 (pp. 158-163). https://doi.org/10.26083/tuprints-00017626
Busch, A., Fink, D., Laves, M. H., Ziaukas, Z., Wielitzka, M., & Ortmaier, T. (2020). Classification of Road Surface and Weather-Related Condition Using Deep Convolutional Neural Networks. In M. Klomp, F. Bruzelius, J. Nielsen, & A. Hillemyr (Eds.), Advances in Dynamics of Vehicles on Roads and Tracks: Proceedings of the 26th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden (pp. 1042-1051). (Lecture Notes in Mechanical Engineering). Springer Nature. https://doi.org/10.1007/978-3-030-38077-9_121
Fink, D., Busch, A., Wielitzka, M., & Ortmaier, T. (2020). Resource Efficient Classification of Road Conditions through CNN Pruning. In 21st IFAC World Congress (2 ed., Vol. 53, pp. 13958-13963). (IFAC-PapersOnLine).. https://doi.org/10.1016/j.ifacol.2020.12.913