Data form the basis of AI-based and machine learning technologies and procedures. They are used to train and test the algorithms. In order to implement highly complex and security-relevant functions using AI, comprehensive and high-quality data is required.
For highly automated driving functions, the AI has to process numerous sensor information, interpret it correctly and make the right decisions. This requires camera, radar and lidar data to prepare the AI functions for use in real scenarios. Up to now, however, existing data either only covers individual sensor types or only depicts limited scenarios and traffic situations.
AI Data Tooling aims to develop a complete data solution for the training and validation of AI functions for highly automated driving. For this purpose, a comprehensive database of real data, synthetic data and synthetically augmented real data for different sensor modalities will be created in the project. On the other hand, a set of methods and tools will be developed that will make the preparation, storage and processing of these data more efficient and to a large extent automated.