The standardization organization ASAM e.V., which defines technical standards for the development, testing and Validation of vehicles, and The Autonomous, an initiative by TTTech Auto AG to promote safety as well as risk and cost reduction in the development of autonomous mobility, have signed a Memorandum of Understanding (MoU), thus creating the prerequisites and framework for cooperation.

In order to support research and development on fully automated driving in railroad operations, the German Center for Rail Transport Research (DZSF) has published the multisensor dataset "Open Sensor Data for Rail 2023", which was created by FusionSystems GmbH on the basis of sensor data from DB Netz AG / "Digitale Schiene Deutschland". The data is intended to help train automated driving functions using machine learning (ML) techniques, thus improving object recognition in railroad environments. It is the first publicly available dataset specifically for rail traffic that has been collected using a variety of sensors. To enable comparability and reusability of the data, the dataset uses the standardized annotation format ASAM OpenLABEL®.

The ASAM membership has elected a new Board for the term 2023 - 2025. Dr. René Grosspietsch (BMW AG), Prof. Dr. Frank Köster (DLR e.V.), Dr. Ralf Nörenberg (HighQSoft GmbH) and Armin Rupalla (RA Consulting GmbH) were confirmed in office. Dr. Andras Kemeny (Driving Simulation Association) was newly elected to the board and replaces Prof. Dr. Marcus Rieker.