Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of
global road accidents. Advances in traffic communication ecosystems, coupled with …

The inherent smaller radar cross sections of vulnerable road users resulting in smaller
signal-to-noise-ratios make an accurate detection of them somewhat challenging. Mutual …

In recent years, the automotive radar systems has gained substantial interest for different
applications of autonomous driving. The performance of most applications like classification …

Automatic radar based classification of automotive targets, such as pedestrians and cyclist,
poses several challenges due to low inter-class variations among different classes and large …

Zwei grundlegende Herausforderungen für das Automobilradar betreffen die Robustheit
gegenüber Interferenzen im gleichen Frequenzband, sowie die Verbesserung der …

Both pedestrians and cyclists as vulnerable road users (VRUs) always exhibit agile and
complex behaviors whose safety protection has attracted the highest priority concerns in the …