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I have elderly relatives who won't drive at night, or on highways. I have friends who won't drive in various degrees of inclement weather - and I know a LOT of

I have elderly relatives who won't drive at night, or on highways. I have friends who won't drive in various degrees of inclement weather - and I know a LOT of Californians who can't drive in the snow. Human skill is extremely variable. A car that can drive to any road under any condition will be vastly superior to the average driver. Reducing such a complex system to a single percentage may be silly, but the idea that a car might have partial coverage under certain conditions is quite reasonable and is reflective of how real human drivers work as well.

Natsu 5y ago
I think the GP post also points out that some roads are, frankly, terrible. I've had more than a few times where I wasn't clear if the cones were set in such a way that I could continue down the road or not and I've been wrong at least once (though the cop was very understanding after I explained it). Some randomly placed cones are enough to confuse humans in many circumstances, as well. I doubt we'll ever have an all-encompassing solution for that, either. Even for things like autonomous-only lane, well it's not like everyone obeys the HOV lanes currently... There probably isn't a perfect solution, especially when I've seen plenty of ambiguous markings.
- Marsymars 5y ago
  Just yesterday I ran into some confusing cones and signage where I made the right merge onto the exit, but the car behind me made the wrong call and drove a kilometre or so down a newly built, unopened highway in parallel to me on my left until they got to some concrete barriers and realized their error.
xyzzy21 5y ago
And there's zero possible way self-driving cars are going to handle country roads that are sometime dirt in the snow during a blizzard. Humans absolutely can do that. But the very architectural basis via ML that's being used never will. Different architecture? Maybe. Maybe in 50-100 years.
- vanviegen 5y ago
  > But the very architectural basis via ML that's being used never will. Why's that? Can't ML be trained you handle these conditions?
- throwaway09223 5y ago
  We already have self driving vehicles which can do this.
perl4ever 5y ago
The average quality isn't the only thing. What about the correlation of errors? There are situations humans can't handle, and notorious "hot spots" where crashes repeatedly happen, but if AI is more consistent, it might lead to more concentrated failures. Have you heard about the problems caused by navigation routing, where large numbers of people are directed through roads that aren't suited for heavy traffic?

Natsu 5y ago

I think the GP post also points out that some roads are, frankly, terrible. I've had more than a few times where I wasn't clear if the cones were set in such a way that I could continue down the road or not and I've been wrong at least once (though the cop was very understanding after I explained it). Some randomly placed cones are enough to confuse humans in many circumstances, as well. I doubt we'll ever have an all-encompassing solution for that, either. Even for things like autonomous-only lane, well it's not like everyone obeys the HOV lanes currently... There probably isn't a perfect solution, especially when I've seen plenty of ambiguous markings.

Marsymars 5y ago
Just yesterday I ran into some confusing cones and signage where I made the right merge onto the exit, but the car behind me made the wrong call and drove a kilometre or so down a newly built, unopened highway in parallel to me on my left until they got to some concrete barriers and realized their error.

xyzzy21 5y ago

And there's zero possible way self-driving cars are going to handle country roads that are sometime dirt in the snow during a blizzard. Humans absolutely can do that. But the very architectural basis via ML that's being used never will. Different architecture? Maybe. Maybe in 50-100 years.

vanviegen 5y ago
> But the very architectural basis via ML that's being used never will. Why's that? Can't ML be trained you handle these conditions?
throwaway09223 5y ago
We already have self driving vehicles which can do this.

perl4ever 5y ago

The average quality isn't the only thing. What about the correlation of errors? There are situations humans can't handle, and notorious "hot spots" where crashes repeatedly happen, but if AI is more consistent, it might lead to more concentrated failures. Have you heard about the problems caused by navigation routing, where large numbers of people are directed through roads that aren't suited for heavy traffic?