Automotive radar perception is an integral part of automated driving systems. Radar sensors
benefit from their excellent robustness against adverse weather conditions such as snow …

Radar sensors are a key component of automated vehicles. The requirements for radar
perception modules are growing more demanding. At the same time, the radar sensors …

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 …

With increasing levels of vehicle automation, the requirements for the sensors that are used
for environment perception are rising at least as steadily. In automotive radars, the capability …

This paper presents a robust detector of point-shaped landmarks by leveraging scattering
information from polarimetric covariance radar gridmaps. Reliable landmarks are an …

The field of autonomous driving has made great progress in recent years, including the
development of algorithms for self-localization. However, localization in areas without …