128 citations
- Anstalt für Verbrennungskraftmaschinen List (Austria)AT2 papers
- Fraunhofer Institute for Experimental Software EngineeringDE2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Leibniz University HannoverDE2 papers
- Robert Bosch (Germany)DE2 papers
- Technische Universität BraunschweigDE2 papers
- University of BremenDE2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- Audi (Germany)DE1 paper
- BMW (Germany)DE1 paper
- Centre for Social InnovationCA1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
13 papers
A Scalable Approach for Transient Thermal Modeling of Automotive Power Electronics
Neelakantan Padmanabhan
Efficient thermal management is critical for the reliability and performance of power electronics systems in automotive applications. This work presents a computationally efficient…
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…
Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
Sven Lämmle, Can Bogoclu, Kevin Cremanns +1
Surrogate models based on machine learning methods have become an important part of modern engineering to replace costly computer simulations. The data used for creating a surrogat…
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
Fabian Woitschek, Georg Schneider
Deep Neural Networks (DNNs) are increasingly applied in the real world in safety critical applications like advanced driver assistance systems. An example for such use case is repr…
Towards Audit Requirements for AI-based Systems in Mobility Applications
Devi Padmavathi Alagarswamy, Christian Berghoff, Vasilios Danos +5
Various mobility applications like advanced driver assistance systems increasingly utilize artificial intelligence (AI) based functionalities. Typically, deep neural networks (DNNs…
Risk Management Core -- Towards an Explicit Representation of Risk in Automated Driving
Nayel Fabian Salem, Thomas Kirschbaum, Marcus Nolte +4
While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk acceptance criteria for Auto…