[bumby]

I think maybe you could, but I think it would take a lot of data to correlate the edge cases.

Think about seeing a playground ball rolling into the street. Most human drivers would anticipate a child jumping into the street after the ball even though they’ve never experienced that situation before because they can correlate the perception with non-driving scenarios (I.e. playground + ball is associated with children). A self-driving car may not have the non-driving context and I’m not sure society is willing to accept the outcome while the cars gather enough data to learn.

And that’s to say nothing of all the off-nominal maintenance related conditions to account for.

Maybe there can be enough data sharing to update models effectively. It will be interesting to see this industry evolve