2 ms·

I don't care about lidar. What I want is _any_ system that starts from a foundational basis of establishing a geometric model of the environment to determine "f

I don't care about lidar. What I want is _any_ system that starts from a foundational basis of establishing a geometric model of the environment to determine "flat ground" vs "thing" without first trying to classify its pixels and ignoring the things it can't identify. Humans do that without lidar just fine, but Tesla's failures consistently look like it doesn't even try to establish geometry with its cameras.

modeless 5y ago
That's exactly what they're doing now, predicting depth without relying on object classification first. That's why it doesn't run into the pillars anymore. Obviously it needs a lot of work, but to me it seems plausible that the general approach can work. My biggest concerns are that the cameras aren't good enough and/or that there isn't enough compute on the car.
- BugsJustFindMe 5y ago
  > predicting depth Better than predicting would be enough cameras to get a stereo baseline. But I'm glad at least that 6 years after launch they're finally maybe sort of thinking about it poorly.
  - modeless 5y ago
    Yes, they really ought to dramatically upgrade their cameras. No argument there. Their stereo baseline is too small and the cameras have different lenses so it's unclear if they can even get any stereo information at all. The problem for Tesla is that they already sold FSD on cars that have the existing camera setup. I think there's a good chance that they will get to a point where they realize their existing cameras aren't good enough and will have to either come up with retrofit kits or refund owners of existing cars with FSD.
    - nikau 5y ago
      > think there's a good chance that they will get to a point where they realize their existing cameras aren't good enough I think it's less realize, and more being forced to acknowledge

2 ms·

I don't care about lidar. What I want is _any_ system that starts from a foundational basis of establishing a geometric model of the environment to determine "f

by BugsJustFindMe 5y ago

modeless 5y ago
That's exactly what they're doing now, predicting depth without relying on object classification first. That's why it doesn't run into the pillars anymore. Obviously it needs a lot of work, but to me it seems plausible that the general approach can work. My biggest concerns are that the cameras aren't good enough and/or that there isn't enough compute on the car.
- BugsJustFindMe 5y ago
  > predicting depth Better than predicting would be enough cameras to get a stereo baseline. But I'm glad at least that 6 years after launch they're finally maybe sort of thinking about it poorly.
  - modeless 5y ago
    Yes, they really ought to dramatically upgrade their cameras. No argument there. Their stereo baseline is too small and the cameras have different lenses so it's unclear if they can even get any stereo information at all. The problem for Tesla is that they already sold FSD on cars that have the existing camera setup. I think there's a good chance that they will get to a point where they realize their existing cameras aren't good enough and will have to either come up with retrofit kits or refund owners of existing cars with FSD.
    - nikau 5y ago
      > think there's a good chance that they will get to a point where they realize their existing cameras aren't good enough I think it's less realize, and more being forced to acknowledge