The U.S. government’s road safety agency is again investigating Tesla’s “Full Self-Driving” system, this time after getting reports of crashes in low-visibility conditions, including one that killed a pedestrian.

The National Highway Traffic Safety Administration says in documents that it opened the probe on Thursday with the company reporting four crashes after Teslas entered areas of low visibility, including sun glare, fog and airborne dust.

In addition to the pedestrian’s death, another crash involved an injury, the agency said.

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions, and if so, the contributing circumstances for these crashes.”

  • sugar_in_your_tea@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    9
    arrow-down
    1
    ·
    2 months ago

    I’m not so sure. Whenever there’s crappy weather conditions, I see a ton of accidents because so many people just assume they can drive at the posted speed limit safely. In fact, I tend to avoid the highway altogether for the first week or two of snow in my area because so many people get into accidents (the rest of the winter is generally fine).

    So this is likely closer to what a human would do than not.

    • nyan@lemmy.cafe
      link
      fedilink
      English
      arrow-up
      3
      ·
      2 months ago

      The question is, is Tesla FSD’s record better, worse, or about the same on average as a human driver under the same conditions? If it’s worse than the average human, it needs to be taken off the road. There are some accident statistics available, but you have to practically use a decoder ring to make sure you’re comparing like to like even when whoever’s providing the numbers has no incentive to fudge them. And I trust Tesla about as far as I could throw a Model 3.

      On the other hand, the average human driver sucks too.

      • sugar_in_your_tea@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        2
        ·
        2 months ago

        Yeah, I honestly don’t know. My point is merely that we should have the same standards for FSD vs human driving, at least initially, because they have a lot more potential for improvement than human drivers. If we set the bar too high, we’ll just delay safer transportation.

      • Jrockwar@feddit.uk
        link
        fedilink
        English
        arrow-up
        1
        ·
        edit-2
        2 months ago

        You can’t measure this, because it has drivers behind the wheel. Even if it did three “pedestrian-killing” mistakes every 10 miles, chances are the driver will catch every mistake per 10000 miles and not let it crash.

        But on the other hand, if we were to measure every time the driver takes over the number would be artificially high - because we can’t predict the future and drivers are likely to be overcautious and take over even in circumstances that would have turned out OK.

        The only way to do this IMO is by

        • measuring every driver intervention
        • only letting it be driverless and marketable as self-driving when it achieves a very low number of interventions ( < 1 per 10000 miles?)
        • in the meantime, market it as “driver assist” and have the responsibility fall into the driver, and treat it like the “somewhat advanced” cruise control that it is.
    • III@lemmy.world
      link
      fedilink
      English
      arrow-up
      4
      arrow-down
      1
      ·
      2 months ago

      low visibility, including sun glare, fog and airborne dust

      I also see a ton of accidents when the sun is in the sky or if it is dusty out. \s

      • sugar_in_your_tea@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        2
        arrow-down
        1
        ·
        edit-2
        2 months ago

        Yup, especially at daylight savings time when the sun changes position in the sky abruptly.

        Cameras are probably worse here, but they may be able to make up for it with parallel processing the poor data they get.