2 ms·

This means they don't have confidence in running the same tried and tested programs on a completely new platform they just launched. Which makes complete sense,

• thesimon 10y ago
  > It gives them time to confirm a new technology and update their maps of areas with information from the new wavelengths they're just now gathering. Fair enough. I just tried to do a diff between the versions: Current implementation [0] * Camera module in the front * Front-facing Radar * 12 ultrasonic sensors New implementation: * 8 surround cameras * Front-facing radar * 12 ultrasonic sensors (updated) [0]: https://www.quora.com/What-kind-of-sensors-does-the-Tesla-Model-S-use-for-its-autopilot-auto-steering-features https://www.quora.com/What-kind-of-sensors-does-the-Tesla-Mo... So the difference is basically just a few extra cameras and updates to the sensors. It doesn't seem like a huge step or completely new platform - at least when looking at the components.
  • marricks 10y ago
    What about the 40x faster processor with neural nets thrown in there somewhere? There's a bit more than just new cameras/sensors.
    • forgetsusername 10y ago
      >neural nets thrown in there somewhere? What techniques were they using to process the data before? Surely it was statistical learning. And if they weren't, their competitors certainly were.
  • bryanlarsen 10y ago
    For version 8 of their software, the camera is now the primary sensor. And that's where the biggest hardware difference between the models is.