Artificial Intelligence (AI) has made impressive progress in recent year...
Fatigue strength estimation is a costly manual material characterization...
When training data is scarce, the incorporation of additional prior know...
The existence of representative datasets is a prerequisite of many succe...
Many machine learning applications can benefit from simulated data for
s...
This survey presents an overview of integrating prior knowledge into mac...
An important pillar for safe machine learning (ML) is the systematic
mit...
Data-driven sensor interpretation in autonomous driving can lead to high...
Monte Carlo (MC) dropout is one of the state-of-the-art approaches for
u...
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has...
Robust and fast motion estimation and mapping is a key prerequisite for
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The past years have shown a remarkable growth in use-cases for micro aer...