Disentangling tangled micro-Doppler spectrograms when multiple pedestrians, bicycles, and cars cross paths.
Self-attention transformer blocks segment individual kinematic Doppler tracks, extracting distinct human arm swings from bicycle wheel rotations.
The classifier identifies whether a pedestrian is walking, running, or falling in under 200 milliseconds, streaming instant hazard tags to approaching autonomous vehicles.