A precisely defined operating environment is not only important for autonomous driving. The Operational Design Domain (ODD) also ensures safety for many other highly automated systems in rail transport, logistics and mobile robotics.
To investigate the future of automation and possible transition paths towards it, Fraunhofer IKS is working on extending automation systems for novel applications. Read on to understand how these prototypes have taken shape and what insights they provide.
This year's two-day Safetronic conference will once again focus on a wide range of presentations to the holistic safety of road vehicles. Frank Kirschke-Biller, member of the program committee, discusses focal points and highlights for participants in an interview.
In many major cities, the regular operation of self-driving trains is already part of everyday life. But how does autonomous driving in rail transport work?
Rather than replacing workers, modern manufacturing approaches aim to combine human expertise and automation, leading to a production setup that increases quality without sacrificing efficiency. Read on to understand how human skills and automation can be combined on the shop floor.
The EU has developed a legal framework for artificial intelligence (AI) products. The aim is to protect citizens and companies from potential harm that may be caused by the use of artificial intelligence. What does this mean for companies that develop AI products?
Neural networks are not robust. The development of reliable predictors requires systematic methods to both assess their quality and to gain confidence in their correctness. Quantum computing can help here.
It takes time. And it will take time. But it will come: Fraunhofer IKS is making a decisive research contribution to autonomous driving, explains Dr. Reinhard Stolle, the new head of the Mobility business unit and deputy director of the institute. But there is still a lot to be done.
Regulations and standards for trustworthy AI are in place, and high-risk medical AI systems will be up for audits soon. But how exactly can we translate those high-level rules into technical measures for validating actual code and algorithms? Fraunhofer IKS’s AI verification framework provides a solution.
The new Fraunhofer IKS Safety Companion is an AI agent designed to support human developers with safety-critical tasks. It uses large language models (LLMs) to understand tasks and to identify and implement the appropriate safety concepts. Executive Director Mario Trapp and Florian Geissler, Senior Scientist at Fraunhofer IKS, introduce the Safety Companion in an interview.
