3 ms·

Maybe on restricted access highways, but self driving isn't coming to dirt and gravel roads any time soon.

• wutbrodo 5y ago
  From a technology standpoint, this seems much much easier for AVs vs humans than many other AV challenges. When it comes to measuring physics precisely, complex computation, and rapid control, computers beat humans by a million miles. This is in stark contrast to, say, driving through a crowded urban environment with all manner of rule-breaking peds and bikes popping out of everywhere.
  • kube-system 5y ago
    The ability to calculate the physics of driving dynamics has been solved for decades. But, if you feed garbage data to your physics models, you will get a garbage result. Computers are still very very awful at image processing as compared to humans.
    • wutbrodo 5y ago
      Yes, I'm saying that environments with diet and gravel roads are a much easier perception problem than dense urban environments, and perception is one of autonomous driving's weak spots. Conversely, quick physics computation and response is a relative weakness of human drivers, and is exacerbated by these environments.
• iso1210 5y ago
  So this model works well - rather than paying $10k for a feature that only works for 100 hours a year you spend on the freeway, and not the 400 hours you spend on your dirt road in smallville, you get the benefit when you go and visit Aunt Mabel without having to pay a large fee upfront.