  This paper presents an approach to automatically annotate automotive radar
data with AI-segmented aerial camera images. For this, the images of an
unmanned aerial vehicle (UAV) above a radar vehicle are panoptically segmented
and mapped in the ground plane onto the radar images. The detected instances
and segments in the camera image can then be applied directly as labels for the
radar data. Owing to the advantageous bird's eye position, the UAV camera does
not suffer from optical occlusion and is capable of creating annotations within
the complete field of view of the radar. The effectiveness and scalability are
demonstrated in measurements, where 589 pedestrians in the radar data were
automatically labeled within 2 minutes.
