Veröffentlichungen

  • Karl-Philipp Kortmann, Johannes Zumsande, Mark Wielitzka, Tobias Ortmaier (2020): Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation21st IFAC World Congress, Berlin, Germany (IFAC 2020) [accepted]
  • Tim Beilfuss, Karl-Philipp Kortmann, Mark Wielitzka, Christian Hansen, Tobias Ortmaier (2020): Real-Time Classification of Road Type and Condition in Passenger Vehicles21st IFAC World Congress, Berlin, Germany (IFAC 2020) [accepted]
  • Johannes Zumsande, Karl-Philipp Kortmann, Mark Wielitzka, Tobias Ortmaier (2020): Bayesian Fill Volume Estimation Based on Point Level Sensor Signals21st IFAC World Congress, Berlin, Germany (IFAC 2020) [accepted]
  • Laves, MH.; Ihler, S.; Kortmann, KP.; Ortmaier, T. (2019): Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference4th workshop on Bayesian Deep Learning (NeurIPS 2019), Vancouver, Canada.
    arXiv: 1909.13550
  • Zumsande, J.; Kortmann, K.-P.; Wielitzka, M.; Hansen, C.; Ortmaier, T. (2019): Mehrkriterielle Prozessoptimierung in der digitalisierten ProduktionFachtagung Mechatronik 2019, S. 255-260
    DOI: 10.17619/UNIPB/1-785
  • Zumsande, J.; Kortmann, K.-P.; Wielitzka, M.; Ortmaier, T. (2019): Probabilistic Simulation and Determination of Sojourn Time Distribution in Manufacturing Processes2019 IEEE International Conference on Mechatronics and Automation (ICMA), pp- 2094-2099.
    DOI: 10.1109/ICMA.2019.8816629
  • Kortmann, Karl-Philipp; Seel, Alexander; Zumsande, Johannes; Wielitzka, Mark; Ortmaier, Tobias (2019): Entwicklung eines stochastischen Werkstücktrackings für (teil-)automatisierte ProduktionsprozesseFachtagung Mechatronik 2019, S. 225-230
    DOI: DOI: 10.17619/UNIPB/1-775