We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
The process engine for pattern recognition and information fusion tasks, the pepr framework, aims to empower the researcher to develop novel solutions in the field of pattern reco...
Volker Fritzsch, Stefan Scherer, Friedhelm Schwenk...
For safe driving it is necessary that the drivers perceive the relevant objects of a situation, comprehend the meaning of these objects to form a holistic understanding of the curr...
—In distributed real-time embedded systems (DRE), it is common to model an application as a set of task chains. Each chain is activated cyclically and must complete before an end...
We propose a simple programming language, called Nemo, specific to the domain of multi-task real-time embedded systems, such as in robotic, automotive or avionics systems. It can ...