Publications

 

Scientific publications

An overview of our scientific publications – for the most part in full text – you will find in the Fraunhofer-Publica.

 

EAI IC4S: Best Paper Award

The EAI IC4S international conference has awarded the prize for the best paper to Fraunhofer IKS for the paper "Concept for Safe Interaction of Driverless Industrial Trucks and Humans in Shared Areas". The topic of the paper is a concept for safe and efficient collaboration between autonomous mobile robots (AMR) and people in shared areas.

 

Is it all a cluster game?

It is essential for safety-critical applications of deep neural networks to determine when new inputs are significantly different from the training distribution. This paper explores this out-of-distribution (OOD) detection problem for image classification using clusters of semantically similar embeddings of the training data and exploit the differences in distance relationships to these clusters between in- and out-of-distribution data.

 

 

Beyond Test Accuracy: The Effects of Model Compression on CNNs

Model compression is widely employed to deploy convolutional neural networks on devices with limited computational resources or power limitations. For high stakes applications, it is, however, important that compression techniques do not impair the safety of the system. This paper investigates the changes introduced by three compression methods that go beyond the test accuracy.

 

White paper

Complexity and uncertainty in the safety assurance and regulation of automated driving

Together with the University of York, Fraunhofer IKS has published a white paper presenting a new approach to assure the safety of cognitive cyber-physical systems (CPS), including automated driving systems.

 

White paper

Safe AI. How is this possible?

How is it possible to develop safe software systems based on artificial intelligence? As simple as the question sounds, a comprehensive answer would be complex. Therefore, the white paper "Safe AI - How is it possible?" focuses on the technical design and the engineering principles of safe AI-based systems.

 

White paper

Trustworthy AI for Intelligent Traffic Systems (ITS)

Together with the Huawei Research Center Munich, Fraunhofer IKS has written a white paper on Artificial Intelligence (AI) for Intelligent Transport Systems (ITS). It summarizes current and future challenges of introducing AI into Intelligent Traffic Systems in a trustworthy manner. Here, special focus is laid on Smart Cities.

 

 

White papers & Studies

Our scientists create studies and white papers that you can download here.

 

Annual report

In its annual report and the Safe Intelligence Magazine, the Fraunhofer Institute for Cognitive Systems IKS introduces itself.

 

Videos

Here you can find some videos from the Fraunhofer Institute for Cognitive Systems IKS.

You will find more videos on our YouTube channel.