[Eisenstein]

Adding an extra sensor onto something not designed for it may not do much. So if that specific question is important to answer, the answer is probably 'not a whole lot', especially since the AI has been training on images only, AFAIK.

The problem isn't that the sensors need to be added now, the problem is that without the sensors the cars are half blind and are more likely to make bad decisions and refusing to add them at all shows bad judgement.

Rain, snow, mist, fog, darkness -- these are things cameras are very bad at seeing through. Is that thing in front of us solid? Without extensive training on that particular type of object, the AI with the camera has to guess. I'm sure these aren't the best examples -- I am not an expert in LiDAR. But I do have experience with computer vision with camera systems, and they are woefully insufficient for life and death decision making systems when they haven't been trained on the exact specific scenarios they will encounter.