I posted some links elsewhere in the thread, but the problem is pretty simple. The faster the car is going, the further ahead it needs to look. But the further away it looks, the lower the effective resolution of the sensors is. Eventually it can't tell the difference between an object in the lane and an object next to the lane, or a metal plate that's part of the road and something that's sticking up.
because it's a race between startups and other entities whose option is profitability or foreclosure. it's their standard mode of operation, move fast and break humans.
no idea why people thought companies would have handled this differently.
beyond that, it's the usual overselling 'neural network' and other classification technologies as AI, of which they are not.
