New Research Project: ML Technology for Automated Documentation in Vehicle Development

As part of the SAFECAR-ML project (Semantic Change Description for Vehicle Development with ML-based Automatic Classification), innovative methods are being developed to significantly simplify the documentation of changes to virtual vehicle models during crash tests. These tests, which are predominantly conducted virtually today to assess vehicle safety, require time-consuming and costly documentation of the simulated changes. By employing novel artificial intelligence (AI) methods, we aim to standardize the information preparation for this documentation in collaboration with Fraunhofer SCAI and the automotive industry.

The goal is to use machine learning to semantically understand free-text inputs and harmonize the resulting data. This will enable the automatic derivation of further steps and recommendations for action. The close cooperation with the automotive industry opens up opportunities for additional applications in the field of computer-aided engineering.