A popular take in autonomous driving is the thing preventing Tesla from breaking beyond level two autonomous driving is its aversion to lidar, which is a direct result of its nn preference.
(Eg Mercedes has achieved level 3 already).
(Eg Mercedes has achieved level 3 already).
LiDAR directly measures the distance to objects. What Tesla is doing is inferring it from two cameras.
There has been plenty of research to date [1] that LiDAR + Vision is significantly better than Vision Only especially under edge case conditions e.g. night, inclement weather when determining object bounding boxes.
[1] https://iopscience.iop.org/article/10.1088/1742-6596/2093/1/...
People keep repeating this. I seriously don't know why. Stereo vision gives pretty crappy depth, ask anyone who has been playing around with disparity mapping.
Modern machine vision requires just one camera for depth. Especially if that one camera is moving. We humans have no trouble inferring depth with just one eye.