Fraunhofer Institute for Cognitive Systems IKS

You want to start your career in science? At the Top Women Tech jobinar, PD Dr. Jeanette Lorenz and Johana Fernández from Fraunhofer IKS will answer your questions. Register directly!

The annual ESE Kongress is Germany's leading congress for the embedded software industry. Jeanette Lorenz from Fraunhofer IKS will hold a presentation on quantum computing.

The 41st International Conference on Computer Safety, Reliability and Security, SafeComp, will take place next year in Munich. For its 2022 edition, the annual event has the motto »New frontiers of safety assurance«. It will be hosted by the Fraunhofer Institute for Cognitive Systems IKS and Friedrich-Alexander-Universität Erlangen-Nuremberg (FAU).  

As part of the ADA Lovelace Center for Analytics, Data and Applications,  Fraunhofer IKS has developed a technical white paper on machine learning methods for reliable perception of autonomous systems. It reviews, develops and evaluates new methods for quantifying uncertainty in deep neural networks.

In collaboration with Magazino GmbH, Frauhofer IKS presents a white paper on the obstacles and potentials of “DevOps for developing cyber-physical systems”:

• What is the difference between DevOps and traditional software development?
• What are the challenges in the DevOps process for cyber-physical systems?
• How can DevOps processes be implemented?

In their new paper, Franziska Schwaiger and her colleagues analyze the miscalibration of object detection models with respect to image location and box scale. Read more about the results of their experiments in »From Black-box to White-box: Examining Confidence Calibration under different Conditions«.

For autonomous vehicles to move smoothly and safely through road traffic in the future, they must be able to communicate with other road users and with the traffic infrastructure. To support the communication, Fraunhofer IKS has developed a new approach for such hybrid perception.

A sticker on a give way sign. Branches hanging in front of a stop sign. Graffiti on a speed limit sign. These are all completely normal sights on our roads, aren’t they? But things that wouldn’t generally be a problem for people can really make life difficult for artificial intelligence.

A simulation designed by Fraunhofer IKS paves the way for robots and humans to interact safely — without reducing efficiency.

Artificial intelligence (AI) has to be able to handle uncertainty before we can trust it to deliver in safety-critical use cases, for example, autonomous cars. The Fraunhofer Institute for Cognitive Systems IKS is investigating ways to help AI reason with uncertainty, one being the operational design domain.