ROUTINE
Living lab for the transfer of digital health applications and AI into healthcare
Start: 07/2019
End: 06/2023
The urban environment represents one of the greatest challenges for automated vehicles due to the enormous complexity of traffic scenarios and large diversity of potential road users. This complexity and variety of urban traffic scenarios must be mastered safely and reliably for people to be willing to use automated vehicles in urban environments.
A key factor towards acceptance and introduction of this new technology is therefore the proof of safety, verification, and validation of automated vehicles. This topic is the target of the VVM project, which takes up the task of the PEGASUS project in the areas of testing and validation. It continues this work with the aim to develop a methodology for the proof of safety for urban driving – especially for the use case of urban intersections.
The FZI Research Center for Information Technology is responsible for “Test Procedure” subproject 7 and deals with the overall test methodology for Level 4 and Level 5 vehicles. The focus is on concepts and methods of an integrated test procedure from simulation to real tests for a modular safety enhancement of automated vehicles. In addition, central infrastructure elements in the form of test vehicles and test benches are being set up or expanded at the FZI.
Intelligent solutions for the transportation of people and goods represent a focus topic of FZI’s application research. Particular attention is paid to public transport, the application of artificial intelligence, the further development of driving functions and their safeguarding, and open source & open data.
Funding notice:
The VVMethoden project is funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK).
Project partners:
23 renowned partners from industry and research
More information at www.vvm-projekt.de
Living lab for the transfer of digital health applications and AI into healthcare
Next-generation distributed, continuously learning onboard power management system
Safe use of automated shuttle vehicles in urban traffic through supporting infrastructure networking
Broker for dynamic production networks
Artificial Intelligence for Work and Learning in the Karlsruhe Region
Security at multiple system layers based on chains of trust and isolation
Software Engineering of Industrial, Hybrid Quantum Applications and Algorithms
Competence Cluster Anonymization for Interconnected Mobility Systems
Climate-friendly, neuromorphic and for a sustainable transport infrastructure of the future.
Actively addressing the challenges posed by climate change and using them as an opportunity for the German economy.