99.99% of daytime highway dashcam frames don't include a firetruck stopped in the lane, dealing with an accident.
But let's say, hypothetically, that a self-driving car accelerated into a clearly visible, stationary firetruck in clear daylight. Despite being 99.99% perfect.
Legislators might feel in order to be an above-average driver the vehicle shouldn't hit any clearly visible stationary objects in clear daylight, because the median human driver doesn't do that.
If it get's cheap enough it will be.
But the AI isn't human and things a human would recognize, like a a large grey truck up ahead doing a turn on an overcast day an AI can just miss.
> if you say we can't have automation until its 100% perfect,
That's why we need the lidar.
To me, more sensors means faster implementation. Quicker to get on roads. Less total deaths. At least in theory, and in what successes i'm seeing.