Project name
KIsSME
After three years of intensive collaboration, the project partners successfully completed the KIsSME research project. The aim of KIsSME was to use artificial intelligence for the selective, near-real-time recording of scenario and maneuver data during the testing of highly automated vehicles.
By filtering sensor and environment data to focus on driving situations that are actually relevant to safety, irrelevant data was eliminated and data volumes were significantly reduced. This data reduction led to noticeable efficiency gains in the subsequent evaluation of the test drives.
RA Consulting has developed an AI algorithm for KIsSME that has been continuously trained to assess driving situations as reliably as possible according to their criticality. The quality of this criticality assessment is crucial to ensure that the data recorder is only triggered when safety-relevant maneuvers or system states occur.
We thank our partners for the excellent cooperation and the Federal Ministry for Economic Affairs and Climate Protection (BMWi) for funding the project.















