4 ms·

> That’s not image recognition. How do you do it? Telepathically? You're still just receiving visual input and processing it.

• rayiner 7y ago
  "Image recognition" is a small subset of "receiving visual input and processing it." We know how to do image recognition with machine learning. Planning and anticipation is a much harder problem.
• beerandt 7y ago
  Human knowledge and intuition. Deductive reasoning. Knowing there is a location ahead without a crosswalk that kids constantly cross at. Or knowing that the car in front of you is going too fast, implying that they're unaware of the railroad tracks they're about to jump. You don't need telepathy to make useful predictions. And humans don't need to be accurate, they just need to be prepared to take a measured response.
  • Dylan16807 7y ago
    > Knowing there is a location ahead without a crosswalk that kids constantly cross at. That's not based on reasoning. Most people driving by probably don't even know. And it might be in the car's database. > Or knowing that the car in front of you is going too fast, implying that they're unaware of the railroad tracks they're about to jump. If I'm behind them, and I'm going much slower because I know the layout of the road... I'm not sure how knowing this matters?
  • jodrellblank 7y ago
    Simply track all the pedestrians all the time, and you'll know in advance where the common crossing points are, and when any pedestrians are moving towards a road where your car is moving. Apple, Google, Facebook, have every advantage here. Tesla track where every Tesla goes, all the time. Will Apple make a car before Tesla makes a 'smartphone'?
• deleted 7y ago
  [deleted]