Comment by ra7

Comment by ra7 3 days ago

5 replies

There have been many instances of Waymo preventing a collision by predicting pedestrians emerging from occlusion. This isn’t new information at all for them. Some accidents are simply physically impossible to prevent. I don’t know for sure if this one was one of those, but I’m fairly confident it couldn’t have been from prediction failure.

See past examples:

https://youtube.com/watch?v=hubWIuuz-e4 — first save is a child emerging from a parked car. Notice how Waymo slows down preemptively before the child starts moving.

https://www.reddit.com/r/waymo/s/ivQPuExwNW — detects foot movement from under the bus.

https://www.reddit.com/r/waymo/s/LURJ8isQJ6 — stops for dogs and children running onto the street at night.

moktonar 2 days ago

> detects foot movement ..

That’s probably how they do it, which is again very clever stuff, chapeau. But they do it like that b/c they can’t really predict the world around them fast enough. It might be possible in the future with AI World Models though

  • ra7 2 days ago

    What do you mean “fast enough”? You can’t predict something that doesn’t exist i.e. not visible to the sensors. A Waymo wouldn’t move at all if it assumed people would always jump out of nowhere.

    Even if you detect “fast enough”, there are physical limits for braking and coming to a stop.

    • moktonar 11 hours ago

      You are predicting stuff that your sensors don’t see all the time my friend

      • ra7 9 hours ago

        You’re being vague and hand-wavy yet again.

        Do you stop at every double parked vehicle when you’re driving? A Waymo would never move if it always predicted pedestrians would jump in front of it out of nowhere or the car next it would swerve at 65 mph. It’s physically impossible to stop in time for many accidents, unless you’re already stopped.

ghthor 3 days ago

This one should have been prevented because the Waymo should have been driving at max 10mph