In the near future, medical engineering will be shaped by artificial intelligence and machine learning. However, the complex processes involved in machine learning create a problem for researchers — it is costly and challenging to eliminate errors before autonomous systems are put into use, and to reliably detect errors during operation.
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.
As a researcher at Fraunhofer IKS, and participant in the Marie-Sklodowska-Curie Actions (MSCA) program, João-Vitor Zacchi focuses on safe perception for autonomous driving. He grew up in Brazil and lived in France before he moved to Munich. Part 14 of our employee portrait series.
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 checked and verified, which requires various complicated technical measures. This article provides an overview of these measures.
Even at a young age, Jeanette Lorenz knew she wanted to go into science. Now she works at Fraunhofer IKS researching how to make reliable and robust quantum computing possible. Part 13 of our employee portraits series.
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.
Jan Frederik Hagen’s job is to make sure the IT infrastructure at Fraunhofer IKS runs smoothly. He knows from his time working in science how important that is for colleagues carrying out research. Part 12 of our series of employee portraits — not of a researcher this time, but of someone who provides the conditions researchers need in order to do their job.
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.
When ensuring the safety of automated driving systems, it is important to take into account technological as well as societal and legal aspects.
