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This paper presents an approach to automatically annotate automotive radardata with AI-segmented aerial camera images. For this, the images of anunmanned aerial vehicle (UAV) above a radar vehicle are panoptically segmentedand mapped in the ground plane onto the radar images. The detected instancesand segments in the camera image can then be applied directly as labels for theradar data. Owing to the advantageous bird's eye position, the UAV camera doesnot suffer from optical occlusion and is capable of creating annotations withinthe complete field of view of the radar. The effectiveness and scalability aredemonstrated in measurements, where 589 pedestrians in the radar data wereautomatically labeled within 2 minutes.

Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images