Fraunhofer Institute for Cognitive Systems IKS

The online seminar "The role of standards for the future of AI" looks at how validation processes and standardization norms can be used to make the use of artificial intelligence more dependable and safe.

After the successful premiere in 2021, the Fraunhofer Institute for Cognitive Systems will again host the international conference »Safetronic« 2022. The event is planned for November 15 and 16, 2022.

With the flexible ezCar2x® software framework Fraunhofer IKS provides the key components needed to rapidly create prototype applications for networking vehicles. The link to the complete source code and the corresponding manual can be found on the ezCar2x® website.

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.

A serious problem in image classification is that a trained model might perform well for input data that originates from the same distribution as the data available for model training but performs much worse for out-of-distribution (OOD) samples. This paper proposes a first-of-its-kind OOD detection architecture named OODformer that leverages the contextualization capabilities of the transformer.

The Fraunhofer IKS Safe Intelligence blog starts the new year with a big change: From now on, there is also an English version of the blog.

The EAI IC4S international conference has awarded the prize for the best paper to Fraunhofer IKS. The topic of the paper is a concept for safe and efficient collaboration between autonomous mobile robots (AMR) and people in shared areas.

The system in autonomous vehicles must be able to reliably detect pedestrians. Deep learning approaches are the main method used for this task. However, in comparison with classic software, the results of these approaches must also be verified, which requires complicated technical measures. This article provides an overview of these measures.

In the field of modern warehouse logistics, speed is crucial to success. This is where autonomous mobile robots (AMR) come in. In order to perform their tasks, they must respond as flexibly as possible to new environmental conditions and warehouse goods. ResilientSOA, the framework developed by Fraunhofer IKS, provides the necessary prerequisites. In this interview, project manager Florian Wörter explains exactly how it works.