The demands placed on automated driving functions are increasing rapidly—and with them the need for reliable, high-quality training data. In the new technical article “Data quality determines the safety of automated systems,” Robert Pletz and Marius Reuther show why systematically tested data plays a central role in the development of safe ADAS and AD applications.