Driving the Future
Technology leads the way safely
Mobility is undergoing a transformation: Vehicles are evolving into highly complex, connected, and software-driven systems that are increasingly operating autonomously and making decisions. In the latest issue of MORGEN DENKER magazine, Fraunhofer IESE explores how this growing complexity can be managed—and what requirements this places on safety, reliability, and trust.
The focus is on key questions regarding the future of mobility: the safe use of artificial intelligence, the systematic handling of uncertainties, and the interplay between functional safety and cybersecurity. These perspectives are complemented by insights into specific research and industry projects that demonstrate how innovative approaches are already being put into practice today.
Selected highlight articles from the printed magazine can be found here on the digital MORGEN DENKER magazine.
“Autonomics is the next major paradigm shift”
Autonomous systems are reshaping mobility, energy and healthcare. But AI alone is not enough to make them dependable. Prof. Peter Liggesmeyer explains why Autonomics must become a distinct field of science—and why action is needed now.
Software on Wheels: How Software-Defined Vehicles Are Shaping the Transformation of Vehicle Development
Software-defined vehicles are reshaping automotive development. Dr. Pablo Oliveira Antonino explains how digital twins and virtual validation enable safer, faster and more cost-effective development.
Success Story
Intelligent safety for the urban mobility of tomorrow
How can autonomous shuttles navigate complex urban traffic safely without unnecessary stops? Fraunhofer IESE and Hitachi are developing dynamic, situation-aware safety methods that enable continuous safety assurance—from simulation to real-world testing.
Success Story
Virtual Validation for the Software-Defined Vehicle
How can complex vehicle software be validated before physical prototypes exist? Fraunhofer IESE and Perseus combine virtualization, simulation and digital twins to test software-defined vehicles earlier, faster and more reliably.