RADDet (Range-Azimuth-Doppler based Radar Dataset)
Introduced by Zhang et al. in RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
RADDet is a radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding boxes on the Cartesian Bird-Eye-View range map. It is used to train and evaluate methods for object detection using automotive radars.
Papers
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