Karlsruhe Institute of Technology Automated vehicles are equipped with sensors to measure information about them and their environment. (Photo: Markus Breig, KIT) Large data volumes arise when testing highly automated vehicles. The new KIsSME project is aimed at reducing these data volumes to save storage capacity, power, and evaluation expenditure and, at the same time, at compressing data to enhance vehicle safety. Algorithms based on artificial intelligence (AI) select the data in the driving mode and sort them into scenario catalogs. Within the collaboration project funded by the Federal Ministry for Economic Affairs, Karlsruhe Institute of Technology (KIT) supplies data from test drives and simulations.