Medical errors and omissions kill way more people than vehicles every year [1].

There's no evidence a human driver wouldn't have killed Elaine. An intoxicated one probably would have and we have direct evidence that a distracted one would have. On average two bicyclists get killed every day in the US. [2]

[1] https://www.hopkinsmedicine.org/news/media/releases/study_su...

[2] https://www.iihs.org/topics/fatality-statistics/detail/bicyc...

Which document describes where it "misclassified Elaine Herzberg so many times"?

Here is a revised link [1] to the full report. Table 1, on Page 10 shows a summary.

[1] https://dms.ntsb.gov/pubdms/search/document.cfm?docID=477717...

Wow, that was interesting.

At every change of identification of an object it becomes "static" again. That seems very stupid if you've already estimated the path of an object.

The human driver didn't do too badly I think. The auditory alert only came at -0.2s until impact, and they braked at 0.7s after impact.

From relaxing and playing with your phone to braking in only 0.9 seconds.

Of course they were supposed to be paying attention, but I fully understand how it would be difficult to pay attention for hours without having to do anything, then suddenly be expected to react immediately. That's the most dangerous thing about these half-driving cars.

To be fair, jaywalking at night away from any streetlights on a road with a 45 mph speed limit is a risky endeavor whether or not there are autonomous cars on the road. It seems likely the outcome would have been the same if the car was being operated by a typical human driver.

The car spotted the pedestrian 5.6 seconds before the crash, but didn't have the brains to know what to do.

The main argument for self driving cars is that they have better sensors and reaction time than humans, but clearly those things aren't enough.