Sure, there’s some correlation, but a correlation can just mean that if one’s getting better, the other probably is too. Just knowing that a correlation exists doesn’t help us much.
The reason why self-driving cars could be almost perfect even if face recognition still had problems is that self-driving cars don’t need to have great detection rates on people—it’s enough to know where the road is and where other stuff is, the nature of that other stuff is only of secondary concern. To find out where stuff is, self-driving cars don’t have to use still images of the environment—they can use things like multiple cameras, fancy laser range-finders, and motion parallax.
Sure, there’s some correlation, but a correlation can just mean that if one’s getting better, the other probably is too. Just knowing that a correlation exists doesn’t help us much.
The reason why self-driving cars could be almost perfect even if face recognition still had problems is that self-driving cars don’t need to have great detection rates on people—it’s enough to know where the road is and where other stuff is, the nature of that other stuff is only of secondary concern. To find out where stuff is, self-driving cars don’t have to use still images of the environment—they can use things like multiple cameras, fancy laser range-finders, and motion parallax.