It's not just about the overall fatality rate per mile. Self-driving cars also need to not have any accidents that humans would have easily avoided. Until they demonstrate that, they're not going to be widely accepted.
Lidar sees a 3D cloud around the car with almost a cm accuracy. Better sensors could have most definitely prevented the accident.
However, to add to tesla's point. I have a car with adaptive cruise control. Not having to constantly check distance with car head has probably saved me once or twice from a crash.
Good auto-pilot's are definitely going to reduce human deaths on roads. Not only just deaths, but the amount of traffic all of us have to endure because someone just didn't keep the right distance from the car infront and bumped into them.
I'm all for open smart driving technology.
I see so many people (like the one two replies above) push the argument for the latter using the advantages that even the first would give.
Why? If they're overall much safer, then that seems like a net win to me—even if their failure modes are not identical to human ones.
There will, of course, be exceptions, as we've already seen (poor guy).
What are you comparing? a 70,000$ car with better safety standards to a 10 year old car! A car that's aimed to be completely autonomous (with driver assistance features) compared with a car completely human driven?
Can you not think beyond extremes? Here's a simple example. An always-on "Autopilot" (or any other driver assistance system) that only intervenes if the driver does a tragic mistake. We still have the important general intelligence of a human and the faster and reliable response of a machine.
I think it's more than that. I think driving requires a general level intelligence, and not a rule based AI.
For example, driving in the suburbs, you see a ball bounce in front of you. Expecting a chasing kid or a dog, you come to a stop. This isn't something a completely self driving car will do.
We use general intelligence to deduce what we don't see. But the car sees much much more than we do.
My point is not a specific example, but the importance of general intelligence.
This isn't what happened. The first iteration of Google self-driving cars, the modified Lexus', had wheels alright. What Google found and told the industry was "almost autonomous seems to be more dangerous than not autonomous at all", explained by the driver getting bored and complacent. This isn't surprising to people doing Human Factors, and while Tesla certainly made money off ignoring it, the result has already been tragic.