Perceiving the road environment as robust and complete as possible is a fundamental
requirement on the way to fully automated driving. Crucial components of perception include …

A novel approach based on the entropy-alpha-anisotropy decomposition, also known as the
decomposition, for the recognition of road surface conditions using automotive radar is …

Automotive self-localization is an essential task for any automated driving function. This
means that the vehicle has to reliably know its position and orientation with an accuracy of a …

A far-field calibration method based on broadside measurements with a co-polarized and a
cross-polarized reference dihedral target is demonstrated for the first time for an …

In this paper, the classification of dynamic Vulnerable Road Users (VRUs) using polarimetric
automotive radar is considered. To this end, a signal processing pipeline for polarimetric …

The convergence of polarimetric scattering parameters and H, α and A features of road
surfaces under various conditions is analysed. It is shown that the number of radar …