Summary of the Dissertation

Driver assistance systems and automated driving systems play a key role in enhancing vehicle safety and driving comfort. A crucial factor in this context is system calibration—that is, the precise tuning of these systems to their respective operating environments in order to reliably achieve the desired vehicle characteristics.

This dissertation addresses the data set required for representative application of such systems. The target was to ensure that evaluation and tuning during the application process are realistic and representative of the system’s intended use. Based on this, a process for globally optimal, data-driven application was developed, which makes it possible to achieve meaningful and representative system tuning with just a few, targeted application test drives.

We are pleased to have had the opportunity to support Jacob Langner, a doctoral student of Prof. Eric Sax, on his journey and wish him continued success in the future.