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 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.”

  • @jordanlundEnglish
    5•2 months ago

    Maybe have a safety feature that refuses to engage self drive if it’s too foggy/rainy/snowy.

    • @bcgm3English
      8•2 months ago

      Inb4 someone on TikTok shows how to bypass that sensor by jamming an orange in it -__-

    • @NotMyOldRedditNameEnglish
      2•2 months ago

      Preventing engaging something in bad conditions is a lot easier than what do you do if the conditions suddenly happen.

      If it’s suddenly foggy it needs to be able to handle the situation well.

      Cameras/Lidar don’t work well in fog. Radar does, but it isn’t a primary sensor and can’t be driven on safely alone in any circumstance.

      So now you need to slow down (which humans will do) but also since the sensors are failing or insufficient, safely get out of the way of what might be other incoming vehicles behind you, or slow/stopped vehicles ahead of you.

      You could restrict hours the system can be engaged which will reduce the likely hood of certain events (e.g morning fog, or sunrise/sunset head on sun) but there’s still unpredictability.