Reliable environment recognition, precise localization, and well-coordinated vehicle-driver interaction are essential prerequisites for highly automated and autonomous driving. The large volumes of sensor and communication data are often gathered in a central control unit. Here, they are preprocessed and classified using complex algorithms, for example, from the field of artificial intelligence, and then merged into a unified environment model that is used in subsequent steps to determine the driving trajectory and for the vehicle longitudinal and lateral control in real time. The combination of AUTERA and MicroAutoBox III provides more than enough resources for this. With various sensor and communication interfaces, a high-performance CPU/GPU combination for perception and fusion algorithms, and a real-time unit for vehicle control and function monitoring, it is ideally suited for the rapid prototyping of autonomous driving functions in the vehicle.