Publications

Showing results 121 - 140 out of 719

2020


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. IFAC-PapersOnLine, 53(2), 11132-11137. https://doi.org/10.1016/j.ifacol.2020.12.273
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)
Grapentin, A., Lehmann, D., Zhupa, A., & Seel, T. (2020). Sparse magnetometer-free real-time inertial hand motion tracking. In 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 94-100). Article 9235262 (IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems; Vol. 2020-September). https://doi.org/10.1109/mfi49285.2020.9235262
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. Advance online publication. 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. IFAC-PapersOnLine, 53(2), 14306-14311. https://doi.org/10.1016/j.ifacol.2020.12.1372
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. Advance online publication. 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
Laves, M. H., Ihler, S., Fast, J. F., Kahrs, L. A., & Ortmaier, T. (2020). Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning. Proceedings of Machine Learning Research, 121, 393-412. https://proceedings.mlr.press/v121/laves20a.html
Lehmann, D., Laidig, D., Deimel, R., & Seel, T. (2020). Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints. IFAC-PapersOnLine, 53(2), 16016-16022. https://doi.org/10.1016/j.ifacol.2020.12.401
Lippi, V., Brands, K. G., & Seel, T. (2020). Real-time Implementation and Evaluation of Magnetometerless Tracking System for Human and Humanoid Posture Control Benchmarking based on Inertial Sensors. In O. Gusikhin, K. Madani, & J. Zaytoon (Eds.), ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics (pp. 675-680)
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
Meindl, M., Molinari, F., Raisch, J., & Seel, T. (2020). Overcoming output constraints in iterative learning control systems by reference adaptation. IFAC-PapersOnLine, 53(2), 1480-1486. https://doi.org/10.1016/j.ifacol.2020.12.1938
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. Article 9291439. https://doi.org/10.1109/jsen.2020.3043999