TL;DR: Self-Driving Teslas Rear-End Motorcyclists, Killing at Least 5
Brevity is the spirit of wit, and I am just not that witty. This is a long article, here is the gist of it:
- The NHTSA’s self-driving crash data reveals that Tesla’s self-driving technology is, by far, the most dangerous for motorcyclists, with five fatal crashes that we know of.
- This issue is unique to Tesla. Other self-driving manufacturers have logged zero motorcycle fatalities with the NHTSA in the same time frame.
- The crashes are overwhelmingly Teslas rear-ending motorcyclists.
Read our full analysis as we go case-by-case and connect the heavily redacted government data to news reports and police documents.
Oh, and read our thoughts about what this means for the robotaxi launch that is slated for Austin in less than 60 days.
It’s hardly either / or though. What we have here is empirical data showing that cars without lidar perform worse. So it’s based in empirical results to mandate lidar. You can build a clear, robust requirement around a tech spec. You cannot build a clear, robust law around fatality statistics targets.
We frequently build clear, robust laws around mandatory testing. Like that recent YouTube video where the Tesla crashed through a wall, but with crash test dummies.
You mean like this Euro NCAP testing, where Tesla does stop and most others don’t including some vehicles with lidar?
https://youtu.be/4Hsb-0v95R4
Those are ways to gather empirical results, though they rely on artificial, staged situations.
I think it’s fine to have both. Seat belts save lives. I see no problem mandating them. That kind of thing can still be well founded in data.