On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models

Marvin Klingner, Konstantin Müller, Mona Mirzaie +3

The emergence of data-driven machine learning (ML) has facilitated significant progress in many complicated tasks such as highly-automated driving. While much effort is put into im…