Night and day, rain and shine, forests and fields: drivers need to adjust to very different surroundings, often within a short space of time. Previously though, it has been necessary to train an AI module for every individual situation to do what a human being can master intuitively. "Previous methods for training artificial intelligence have been too specialized and haven't been able to give the module any real understanding of its surroundings", explain Prof. Bin Yang and Robert Marsden from the Institute of Signal Processing and System Theory (ISS), who coordinate the University of Stuttgart's part of the project, which is carried out in the Department of Electrical Engineering and Information Technology. "This is why the neural networks which the AI is based on have difficulties with situations which haven't been mapped in the training data." For example, a model which is trained to recognize a car during the day will find it much more difficult to recognize a vehicle at night.