Tech for Democracy
German-Israeli Research Initiative on Digital Democracy
Start: 04/2020
End: 12/2023
In the KI Data Tooling research project, a data solution for the training and validation of Artificial Intelligence (AI)-based automated driving functions is being developed. For a successful deployment of AI-based functions in vehicles, a well-founded database is essential, which must include as many scenarios as possible as well as data of different sensor modalities. So far, only isolated solutions exist for the data of individual sensor types, a small number of scenarios or parts of the training and evaluation chain. Therefore, the research project examines tools and methods that automatically process, supplement and combine data from different sensor modalities (camera, lidar, radar) and subsequently make them available for AI-based functions. Real data as well as synthetic data are considered in an integrated way and the efficiency potential arising from the combination is used.
In the KI Data Tooling project real, synthetic and augmented data of different sensor modalities shall be generated. Furthermore, methods for the analysis, quality assessment, and efficient as well as resource-saving storage and transmission of these data will be developed. An optimized AI training strategy will be built based on the data and on methods.
In the KI Data Tooling research project, the FZI Research Center for Information Technology is responsible for the real data augmentation as well as for evaluating and demonstrating the project results. The methodological focus of the FZI researchers are novel approaches for context identification and corner case detection as well as methods for augmentation and automated labeling of real data. In addition, research is being conducted on methods for the synthetic generation of realistic radar data, which currently represent a particularly great challenge in synthetic data generation.
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.
Smart solutions for the transportation of people and goods are a focus of FZI research to shape mobility in the future. To this end, the FZI develops integrated mobility systems – from vehicle automation and the application of AI in traffic systems to urban mobility and logistics.
Funding notice:
The KI Data Tooling project is funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK).
Project partners:
German-Israeli Research Initiative on Digital Democracy
AI in the Mobility Sector
Supercomputing Platform for Highly Automated Vehicles
Cybersecurity for SMEs
Data management repository for care-supporting AI applications
Innovation with Cybersecurity for SMEs in Baden-Württemberg
Hardening of embedded RISC-V software by means of code transformations
Automatic Integration of Avionik Racks via Artificial Intelligence
Buildings as efficient and interoperable components of the future energy system
Hybrid building twins for increased energy efficiency