The basis for a successful application of AI-based functions in vehicles is a comprehensive database for different driving situations and different sensor modalities (camera, radar, lidar). Only with such a database it is possible to successfully train and validate AI functions. Providing this kind of data comes with numerous challenges.
The research project AI Data Tooling will develop and investigate for the first time holistic tools and methods for providing data of different sensor modalities for AI-based functions. The aim is to develop a complete data solution for the training and validation of AI-based automated driving functions by the integrated consideration of real data, synthetically generated data and augmented data as a mixture of these two, as well as methods for the efficient handling of this data set.