2020
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
Frank, T., Wieting, S., Wielitzka, M., Bosselmann, S., & Ortmaier, T. (2020). Identification of temperature-dependent boundary conditions using MOR. International Journal of Numerical Methods for Heat and Fluid Flow, 30(2), 1009-1022. https://doi.org/10.1108/hff-05-2019-0404
Frank, T., Zeipel, H., Wielitzka, M., Bosselmann, S., & Ortmaier, T. (2020). Real-Time Prediction of Curing Processes using Model Order Reduction. In 21st IFAC World Congress Berlin
Frank, T., Wielitzka, M., & Ortmaier, T. (2020). Reduced-Order Kalman Filter for Surface Temperature Monitoring of parameter-variant thermal Systems. In 2020 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 570-575). (IEEE International Conference on Mechatronics and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA49215.2020.9233772
Frank, T., Wielitzka, M., Dagen, M., & Ortmaier, T. (2020). Reduced-Order Modeling of Parameter Variations for Parameter Identification in Rubber Curing. In O. Gusikhin, K. Madani, & J. Zaytoon (Eds.), ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics (pp. 659-666)
Hansen, C. (2020). Planung energieeffizienter Mehrachstrajektorien unter Ausnutzung elektrischer Antriebskopplung. [Doctoral thesis, Leibniz University Hannover]. TEWISS Verlag.
Ihler, S., Laves, M-H., & Ortmaier, T. (2020). Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer. https://arxiv.org/abs/2007.04928
Ihler, S., Kuhnke, F. K., Laves, M-H. V., & Ortmaier, T. (2020). Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Eds.), International Conference on Medical Image Computing and Computer Assisted Intervention (pp. 54-64). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12263 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-59716-0_6
Jahn, T., Ziaukas, Z., Kobler, J. P., Wielitzka, M., & Ortmaier, T. (2020). Neural Observer for Nonlinear State and Input Estimation in a Truck-Semitrailer Combination. In 21st IFAC World Congress
Kaczor, D., Bensch, M., Schappler, M., & Ortmaier, T. (2020). Trajectory optimization for the handling of elastically coupled objects via reinforcement learning and flatness-based control. In Annals of scientific society for assembly, handling and industrial robotics (pp. 319-329). Springer Verlag. https://doi.org/10.1007/978-3-662-61755-7_29
Knöchelmann, E., Steinke, D., Greenyer, J., Spindeldreier, S., & Ortmaier, T. (2020). Trajectory Optimization Methods for Robotic Cells Considering Energy Efficiency and Collisions. In T. Schüppstuhl, K. Tracht, & D. Henrich (Eds.), Annals of Scientific Society for Assembly, Handling and Industrial Robotics (pp. 229–240). Springer Vieweg. https://doi.org/10.1007/978-3-662-61755-7_21, https://doi.org/10.15488/10378
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. https://arxiv.org/abs/2006.11584
Laves, M-H., Tölle, M., & Ortmaier, T. (2020). Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior. In C. H. Sudre, H. Fehri, T. Arbel, C. F. Baumgartner, A. Dalca, R. Tanno, K. Van Leemput, W. M. Wells, A. Sotiras, B. Papiez, E. Ferrante, & S. Parisot (Eds.), Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis (pp. 81-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12443 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-60365-6_9
Männel, A., Müller, K., Knöchelmann, E., & Ortmaier, T. (2020). Load Profile Cycle Recognition for Industrial DC Microgrids with Energy Storage Systems. In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) (pp. 904-911). (Proceedings of the IEEE International Symposium on Industrial Electronics; Vol. 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.15488/10381, https://doi.org/10.1109/ISIE45063.2020.9152432
Modes, V., Ortmaier, T., & Burgner-Kahrs, J. (2020). Shape Sensing Based on Longitudinal Strain Measurements Considering Elongation, Bending and Twisting. IEEE sensors journal, 21(5), 6712-6723. [9291439]. https://doi.org/10.1109/jsen.2020.3043999
Napier, J. W., Ihler, S., Laves, M. H., Zabic, M., Heisterkamp, A., & Neu, W. (2020). Design of a novel MEMS based laser scanning laryngoscope to combine high precision laser cuts with simultaneous MHz OCT and stereo camera feedback. In Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020 [112130J] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11213). SPIE. https://doi.org/10.1117/12.2550806
Nuelle, K., Sterneck, T., Lilge, S., Xiong, D., Burgner-Kahrs, J., & Ortmaier, T. (2020). Modeling, calibration, and evaluation of a tendon-actuated planar parallel continuum robot. IEEE Robotics and Automation Letters, 5(4), 5811-5818. https://doi.org/10.1109/LRA.2020.3010213
Popp, E., Tantau, M., Wielitzka, M., Giebert, D., & Ortmaier, T. (2020). Design of a PI-Controller Based on Time-Domain Specification Utilizing the Parameter Space Approach. International Federation of Automatic Control (IFAC), 53(2), 8884-8890. https://doi.org/10.15488/10814, https://doi.org/10.1016/j.ifacol.2020.12.1408
Popp, E., Tantau, M., Wielitzka, M., & Ortmaier, T. (2020). Performance Optimal and Robust Design of an Idle-Speed Controller Considering Physical Uncertainties. In 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020 (pp. 953-959). [9233835]. https://doi.org/10.15488/10816, https://doi.org/10.1109/icma49215.2020.9233835