RISE
AI assistant serves as first point of contact for legal questions
KisSME
Artificial intelligence for selective real-time recording of scenario and maneuver data during the testing of highly automated vehicles
Start: 01/2021
End: 12/2023
To prove the safe function of highly automated vehicles, firmly defined scenario catalogs are used for maneuver-related evidence according to the current state of the art, as well as real-time data comprising several million driving kilometers for statistical verification.
To develop new vehicles with a 4/5 automation level, achieving a selective acquisition of relevant and critical driving situations, significant environmental data as well as raw data of the vehicle sensor system while driving are indispensable. This data is needed to validate, improve and reproduce the decisions made by artificial intelligence (AI), with the aim of thus achieving the necessary test coverage for future functionalities.
Within the KIsSME project, AI-based algorithms will be applied to enable on-board systems to recognize relevant and critical scenarios in real time and to selectively acquire raw data and scenario descriptions for this purpose. The AI-based algorithms will enable an inherent learning capability that continuously improves the recognition of critical situations and the associated relevant data to increase the information density of the data used for testing when developing level 4/5 automated systems, while simultaneously significantly reducing the associated data volume required as well as the effort needed to ensure data protection.
Contact
Marc Zofka
Department Manager
Division: Intelligent Systems and Production Engineering
- +49 721 9654-366
- zofka@fzi.de
- Headquarters Karlsruhe
Research focus
Applied Artificial Intelligence
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
Intelligent Transportation Systems and Logistics
Intelligente Lösungen für den Transport von Menschen und Gütern für die Mobilität der Zukunft stellen einen Schwerpunkt der FZI-Forschung dar. Dazu entwickelt das FZI integrierte Mobilitätssysteme – von der Fahrzeugautomatisierung über die Anwendung von KI in Verkehrssystemen bis zur urbanen Mobilität und Logistik.
Funding notice:
The KisSME project is funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK).
Project partners:
- AVL Deutschland GmbH (coordinator)
- Karlsruhe Institute of Technology (KIT)
- Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI
- LiangDao GmbH
- Mindmotiv GmbH
- RA Consulting GmbH
- Robert Bosch GmbH
- ASAM e.V., Association for Standardization of Automation and Measuring Systems (associated)
- Cluster Electric Mobility South-West/ e-mobil BW GmbH (associated)
More projects
MAD Urban
AI engineering empowering security reasoning throughout the entire lifecycle of an AI function
SDI4ECom
Secure and self-determined digital identities in e-commerce
CaMinoBW
Co-design for application-specific microelectronics with innovative chiplets in Baden-Württemberg
regioKArgoTramTrain
Jointly moving people and goods
PathoBot
Stopping pathogen transmission in hospitals quickly, reliably, and comprehensively using AI.
ISOLDE
Generating resilient system-on-a-chip architectures for RISC-V
VINNIE
Body-worn sensors and wearables for recording vital data and identifying health-related issues in mental and psychosomatic disorders
just better DATA
Efficient and highly accurate data generation for AI applications in autonomous driving
GenIUs4KMU
Generative AI in Software Development with a focus on smart home applications.