Self-Driving Teslas Are Fatally Rear-Ending Motorcyclists More Than Any Other Brand: New Analysis - FuelArc News
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Among motorcyclists, there is a persistent rumor that Teslas are dangerous to ride around in traffic. Whether it’s their silent electric drivetrain, extreme acceleration, or self-driving technology supposedly failing to see motorcycles, every biker seems to know someone who’s had a close call with a Tesla. Our new analysis of data from the NHTSA on […]

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.

  • NotMyOldRedditName@lemmy.worldEnglish
    1·
    2 days ago

    Okay, so I’m going to edit my earlier replies but replying again so you see, as I was wrong.

    Version 11/12 in 2023/2024 wasn’t using the AP code, it just wasn’t using the neural nets. So it was legitimately FSD, but it was running different code on the freeways (non neural net) vs on city streets (neural net)

    But it was indeed FSD. Version 11.x was the change where it stopped using AP when you left city streets.