alt Hacker News>they tapped a bollard
If a human had eyes on every angle of their car and they still did that it would represent a lapse in focus or control -- humans don't have the same advantages here.
With that said : i would be more concerned about what it represents when my sensor covered auto-car makes an error like that, it would make me presume there was an error in detection -- a big problem.
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I wonder if slow speeds affect the detection?
A bollard at three feet might look like a grain silo at 400 yards. I could see angles getting to where the camera sees "beige rectangle (wall), red cylinder (bollard)" and it's basically an abstract modern art piece.
I see things on security cameras a lot that in low resolution are nearly impossible for me to decipher.
Lapse in focus is such a great point. If we looked at the number of accidents caused by very human errors such as "lapse in focus" and "sudden medical events" etc. which we would 100% expect to go away when offloading tasks to any computer, the statistics of accidents remaining becomes the bare minimum for what computer-based automated driving must achieve.
This is compounded by the system mistakes likely being hard-errors. A computer hard-error vs. human lapse of judgement is potentially the difference between the vehicle slowly crushing a small child as they scream and beg for help vs. a human stopping as soon as they felt/heard something. Context matters.
The compared error-rates must consider if it could have been avoided or mitigated, the near misses, the human vs. computer type of error, and how hard-errors may lead to horrifying scenarios.