[rwill128]

How can you so blindly oversimplify a problem and then act like the rest of the world is incompetent for not solving it already?

Snow is not just increased visual noise. Just off the top of my head, with no experience in self-driving cars and limited experience in computer vision:

Snow (on the ground and street and curbs) is a vastly lower-contrast visual environment where numerous traditionally distinct features of the landscape are covered by a blanket of white.

Snow is a more dangerous and difficult-to-stop-in environment, with totally different physical dynamics. Recognizing pedestrians (and their intentions), road blocks, debris, etc. is probably already a challenging problem, and with snow it's not only more difficult, it needs to be done from a much farther distance to give adequate stopping time.

Along with snow there are issues with recognizing icy patches and other especially low traction sections on the road and adjusting control inputs accordingly.

I can't tell if you've never driven in snow or never even attempted a basic computer vision or robotics task in your life, or both.

[joshuamorton]

You missed the perhaps more important component: snow really messes with LiDAR.