The one time I ever rode in a waymo (in Los Angeles), I had a contradictory experience. My Waymo was attempting to make a right turn at a red light. We were stopped behind a human driver who was waiting for pedestrians to finish crossing before proceeding to make the turn. This was a college campus (UCLA), so there were lots of pedestrians. After a few seconds of waiting, the Waymo decided that the driver ahead of us was an immobile obstacle, and cut left around this car to complete the right turn in front of it. There was only one lane to turn into.
Luckily, no one was hurt, and I generally trust a waymo not to plow into a pedestrian when it makes a maneuver like that. I also understand the argument that autonomous vehicles are easily safer on average than human drivers, and that’s what matters when making policy decisions.
But they are not perfect, and when they make mistakes, they tend to be particularly egregious.
I perhaps quarterly see this as a pedestrian with two human drivers.
I'll be happy when the average driver is a computer that does better than the average human. Deaths won't go down to 0 but at least it'll less chaotic.
That mistake might induce human error—which is absolutely a source of danger—but it undoubtedly had a clear path to pull around the “stopped” vehicle, and as you said, you can generally trust Wayno not to plow into pedestrians. So what made it “lucky” that no one was hurt?
Why don’t we have cars talk to each other and coordinate their routing? Like some sort of peer to peer mechanism that helps them not crash each other. Why can’t vehicles be made to stop at cross walks when someone is crossing with some sort of communication to the vehicle?
There is a long and glorious research bibliography on v2v comms for this purpose :-) The obstacles are pretty obvious, the chicken-and-egg problem and trust.
Luckily, no one was hurt, and I generally trust a waymo not to plow into a pedestrian when it makes a maneuver like that. I also understand the argument that autonomous vehicles are easily safer on average than human drivers, and that’s what matters when making policy decisions.
But they are not perfect, and when they make mistakes, they tend to be particularly egregious.