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Re:Nvidia on new self-driving system: “basically 5 years ahe... by viraptor on Saturday November 12, 2016 @08:20PM (#12941260)
> This is true but only in a limited sense.

Isn't what we need very limited anyway? What the cars need is recognition of obstacles and the type of the obstacle in a very limited range. Basically when something is on the road, it doesn't matter whether it's a moose or a deer - you slow down and avoid, or brake depending on the environment.

"what is in this picture" classifiers don't seem like a good algorithm to use in that case. Object detection / feature extraction seems to be much closer.

Re:Nvidia on new self-driving system: “basically 5 years ahe... by kpil on Saturday November 12, 2016 @08:54PM (#12941394)
Eh. Is it clouds or a truck, or a shadow on the road or a moose? A tree besides the road or a cyclist) Hard to tell without really good classifiers.

I guess that with a lidar or some kind of 3d perception, you can relax the demands on the classifier a bit and ignore really flat things and the sky...

Re:Nvidia on new self-driving system: “basically 5 years ahe... by argonaut on Sunday November 13, 2016 @12:56AM (#12942078)
Object detection is considered a more difficult problem than image classification in the vision community. So I'm not sure what the point is there.