ROUTINE
Living lab for the transfer of digital health applications and AI into healthcare
Start: 03/2019
End: 10/2022
Automated, connected vehicles offer great potential for reducing the number of accidents and increasing occupant protection. At the same time, intelligent driving strategies can make optimum use of the traffic infrastructure and thus increase efficiency in road traffic. For urban areas, this applies in particular to automated vehicles of SAE levels 4 and 5 (fully automated driving and autonomous driving). Without valid test procedures, however, these cannot be deployed – even if their development has reached everyday suitability.
SetLevel4to5 therefore aims to advance the simulation-based development and testing of these vehicles in order to create a basis for verification and validation as well as subsequent release and approval. This will accelerate the overall development process in a cost-effective manner and secure the technological leadership of German companies.
One target of the FZI in the project is on scenario description and definition for simulative validation with a focus on an exchangeable standardized scenario format. In addition, realistic sensor models for radars as well as driver models for involved road users are being developed. Moreover, the FZI provides the automated driving function, which is used in the project as a system under test.
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.
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.