Humans certainty have a stronger and general prior to make sense out of the information, and that's exactly why I left it as a possibility. Cars don't * yet * have anything close to it, just like they didn't have a way to accurate detect objects a few years ago and just like they didn't have a way to capture RGB information a few decades ago.

I am an optimistic guy, and I certainly believe in the power of learning at scale.

Actually our eyes are more like 8MP: https://www.picturecorrect.com/what-is-the-resolution-of-the...

Perhaps higher synthetic resolution from moving our eyes about, or perhaps that is meaningless.

In some way, I am against the philosophy of using HD maps + LIDAR data for highly accurate localization which most companies seem to be using these days. I believe that this approach is inherently brittle and is an 'easy way out' to the hard localization problem. I think more resources should be put into developing more natural, no HD map dependency techniques.

PS: It is my understanding that most of the major players were using HD maps, not sure if it is still true.

Can you elaborate on this? I've always felt like the margins of error are getting wider because the automotive tech (particularly safety features) are so vastly improved. I doubt people would be able to text and drive as much, for example, if they were driving a 1950s era Willys jeep just because it requires so much more attention to keep on the road by comparison to modern vehicles.

https://capitolfax.com/2021/01/26/aaa-wants-us-to-stop-calli...