Autonomous mobility aims to enhance traffic flow, conserve resources, and improve road safety. Consequently, it could significantly contribute to achieving the climate goals of the Paris Agreement by unlocking synergy effects and coherently reducing greenhouse gas emissions. To enable autonomous driving, the perception system heavily relies on cameras mounted behind the windshield. Hence, the performance of the perception system is influenced by optical aberrations induced by the windshield. The research focus lies on assessing the required optical quality of windshields for enabling Level-4 functionality and aims to enhance the physical understanding of AI systems by analysing the most informative PSF.