24 citations · 38 across the 5 of their papers we have counts for
5 papers
Predictive Energy Management for Recuperation Axles in Refrigerated Trailers
Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann +3
Refrigerated truck trailers are currently mainly operated with environmentally harmful diesel units; an alternative is to operate the refrigeration unit with electrical energy. How…
Friction and Road Condition Estimation by Combining Cause- and Effect-Based Methods using Bayesian Networks
Björn Volkmann, Karl-Philipp Kortmann, Ulrich Mair +1
Knowledge about the maximum tire-road friction potential is an important factor to ensure the driving stability and traffic safety of the vehicle. Many authors proposed systems tha…
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Karl-Philipp Kortmann, Moritz Fehsenfeld, Mark Wielitzka
Sensor and control data of modern mechatronic systems are often available as heterogeneous time series with different sampling rates and value ranges. Suitable classification and r…
Calibration of Model Uncertainty for Dropout Variational Inference
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann +1
The model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration. In this paper, different logit scaling methods are extended to…
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Max-Heinrich Laves, Sontje Ihler, Karl-Philipp Kortmann +1
Model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration. The uncertainty does not represent the model error well. In this p…