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I never made an excuse nor said we should be testing these on live streets.

What I did say is that with deep learning it simply is not possible to "test" in a simulated environment to any level of certainty.

You can use simulated environments with test subjects to help develop such as system (and should do so). But you will never be able to adequately test such a system in this environment.

Why? The state space of traditional robotics and engineering problems is far more constrained. So much so that you can't even compare the fields in my opinion.



But you can still gather learning data from sensor-covered cars "in the wild" and then test it with contrived tests.




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