We will never have any way to know whether an average attentive human would have correctly parsed this situation or would also have hit the unexpected pedestrian in the middle of the street at night, but it's worth remembering that trying to make broad assessments of self-driving technology from this one accident is reasoning from a single data point.

One advantage the self-driving cars have over a human driver is that NTSB and Uber can yank the memory and replay the logs to see what went wrong, correct the problem, and push the correction to the next generation of vehicles. That's not a trick you can pull off with our current fleet of human drivers, unfortunately(1).

(1) This is not a universal problem with human operators, per se... The airline industry has a great culture of observing air accidents and learning from them as a responsibility of individual pilots. We don't have a similar process for individual drivers, and there are far, far more car crashes than air crashes so the time commitment would be impractical at 100% of accidents.