[storus]

Because you are processing a sequence of a fixed length in deep learning models and the more frames you have, the more accurate your FSD output is. Driving 1.4m between the frames with single-frame accuracy of 80% is quite risky and input correction quite discrete; 14cm is still risky for a proper trajectory planning. Now make it in millimeters and suddenly your trajectory is nearly perfect with only little noise.