Zeige Ergebnisse 1 - 20 von 23
Lampe, N., Ehlers, S. F. G., Kortmann, K-P., Westerkamp, C., & Seel, T. (Angenommen/im Druck). Model-Based Maximum Friction Coefficient Estimation for Road Surfaces with Gradient or Cross-Slope. In 2024 35th IEEE Intelligent Vehicles Symposium (IV)
Caceres-Castellanos, C., Kortmann, K-P., & Fehsenfeld, M. J. (2023). Condition Monitoring using Domain-Adversarial Networks with Convolutional Kernel Features. 7746-7752. Beitrag in IFAC World Congress 2023, Yokohama, Japan. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.1180
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. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.518
Fehsenfeld, M., Kühn, J., & Kortmann, K-P. (2023). Comparative Study of Excitation Signals for Active Fault Diagnosis of Belt Drives. In 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) IEEE. https://doi.org/10.1109/isie51358.2023.10228157
Fehsenfeld, M., Kühn, J., & Kortmann, K-P. (2023). Multi-Source Domain Adaptation for Fault Diagnosis of Belt Drives. IFAC-PapersOnLine, 56(2), 11305-11310. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.411
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) (S. 3187-3192). (Proceedings of the ... American Control Conference). IEEE. https://doi.org/10.23919/acc55779.2023.10156499
Lampe, N., Kortmann, K-P., Westerkamp, C., & Jacob, H-G. (2023). Active Excitations for Maximum Friction Coefficient Estimation. In IEEE Intelligent Vehicles Symposium (IV 2023) ( IEEE Intelligent Vehicles Symposium). IEEE. https://doi.org/10.1109/IV55152.2023.10186603
Lampe, N., Kortmann, K-P., & Westerkamp, C. (2023). Neural Network based Tire-Road Friction Estimation Using Experimental Data. IFAC-PapersOnLine, 56(3), 397-402. Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.12.056
Schäfke, H., Lampe, N., & Kortmann, K-P. (Angenommen/im Druck). Transformer Neural Networks for Maximum Friction Coefficient Estimation of Tire-Road Contact using Onboard Vehicle Sensors. In 62nd IEEE Conference on Decision and Control (CDC)
Volkmann, B., Kortmann, K-P., & Seel, T. (2023). Friction and Road Condition Estimation using Bayesian Networks. In H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Hrsg.), 22nd IFAC World Congress (2 Aufl., Band 56, S. 854-861). (IFAC-PapersOnLine; Band 56, Nr. 2). Vorabveröffentlichung online. https://doi.org/10.1016/j.ifacol.2023.10.1672
Volkmann, B., & Kortmann, K-P. (2023). Friction and Road Condition Estimation using Dynamic Bayesian Networks. In 2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI) (International Conference on Multisensor Fusion and Information Integration for Intelligent Systems). IEEE. https://doi.org/10.1109/SDF-MFI59545.2023.10361516
Kortmann, K-P., Fehsenfeld, M., & Wielitzka, M. (2021). Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems. Vorabveröffentlichung online. https://arxiv.org/abs/2104.02784
Kortmann, K-P., Fehsenfeld, M. J., & Wielitzka, M. (2021). Featureextraktion aus heterogenen multivariaten Zeitreihendaten mechatronischer Systeme mittels Autoencoder-Netzwerken. In Digital‐Fachtagung VDI MECHATRONIK 2021 (S. 74-79). https://doi.org/10.26083/tuprints-00017626
Zumsande, J., Kortmann, K-P., Ortmaier, T., & Wielitzka, M. (2021). Estimation of Stochastic Time Lags between Data Sources in Distributed Production Facilities Based on Cross-Correlated Signals. 22th IEEE International Conference On Industrial Technology (ICIT) 2021, Valencia, Spanien. https://ieee-icit2021.org/wp-content/uploads/2021/03/ieee-icit-2021-final-program.pdf
Beilfuss, T., Kortmann, K. P., Wielitzka, M., Hansen, C., & Ortmaier, T. (2020). Real-Time Classification of Road Type and Condition in Passenger Vehicles. IFAC-PapersOnLine, 53(2), 14254-14260. https://doi.org/10.1016/j.ifacol.2020.12.1161
Kortmann, K. P., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2020). Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation. IFAC-PapersOnLine, 53(2), 11125-11131. https://doi.org/10.1016/j.ifacol.2020.12.271
Laves, M-H., Ihler, S., Kortmann, K-P., & Ortmaier, T. (2020). Calibration of Model Uncertainty for Dropout Variational Inference. Vorabveröffentlichung online. https://arxiv.org/abs/2006.11584
Zumsande, J., Kortmann, K. P., Wielitzka, M., & Ortmaier, T. (2020). Bayesian Fill Volume Estimation Based on Point Level Sensor Signals. IFAC-PapersOnLine, 53(2), 1261-1267. https://doi.org/10.1016/j.ifacol.2020.12.1852
Kortmann, K-P., Seel, A., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2019). Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte Produktionsprozesse. In Fachtagung Mechatronik 2019 (S. 225-230). University of Paderborn. https://doi.org/doi.org/10.17619/UNIPB/1-775
Kortmann, K-P., Seel, A., Zumsande, J., Wielitzka, M., & Ortmaier, T. (2019). Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte Produktionsprozesse. 225-230. Beitrag in Fachtagung Mechatronik, Paderborn, Nordrhein-Westfalen, Deutschland. https://doi.org/10.17619/UNIPB/1-775