An automatic LiDAR-camera labelling pipeline and a two-branch FPN plus 3D U-Net network achieve over 65% of LiDAR detection probability for semantic segmentation of 4D radar tensors on the RaDelft dataset.
A deep automotive radar detector using the radelft dataset,
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Automatic Labelling & Semantic Segmentation with 4D Radar Tensors
An automatic LiDAR-camera labelling pipeline and a two-branch FPN plus 3D U-Net network achieve over 65% of LiDAR detection probability for semantic segmentation of 4D radar tensors on the RaDelft dataset.