Quote:
Originally Posted by Fuzz
Because there are some things computers are not very good at. Like, you and I can look at a dog, and say "that's a dog". An algorithm can look at it, and have no idea what it is. You can see a cyclist, and see that they saw you, and understand each others intentions. Computers are not good at that. They'll get there, but we have a ways to go.
For winter driving, most of these systems rely on lines on the road to see where they are. Without it, they become useless, whereas humans can make interpretations of inputs. It's not that computers can't process all the inputs, it's that computers need to be programmed to interpret them. They have to identify features in an image properly which is much tougher when everything is covered in snow.
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Not that I disagree with the overall thrust of where you're going, but computers are now better at image recognition than humans are. Also, they get there not by being programmed to understand what each thing is, but by learning from large data sets with millions of examples. There are issues with the type and variety of sensors used as well as the volume of data and quality of data though, and that seems to fit with what I take your point to be.