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by avereveard 1789 days ago
eyesight has stereoscopic vision, so can compute actual distances from obstacles from the input feed instead of faking it all with machine learning.
2 comments

If you're interested, Tesla's head of AI recently did a public presentation of their new vision based depth system. It's worth a watch if you find this stuff interesting and enjoy learning about the forefront of technology.

https://www.youtube.com/watch?v=g6bOwQdCJrc

A key takeaway is that they've been running this stack in shadow mode (validating output but not controlling the car) on everyone's Tesla for quite some time. Equivalent to 1000 YEARS worth of real world driving. And from this data they've proven it is now superior to radar in all circumstances.

being very suspicious about that talk, the output they show doesn't matches at all with the output people have extracted from running teslas - https://twitter.com/greentheonly/status/1412597377228226562 - specifically the 'trained' heath signature running horizontally across the dash.
It’s not going to match because it’s different data from a different ML model visualised in a different way. Weird that you’d expect it to.
Well,the rest have radar, so that's not a problem.

"Stereoscopic vision works most effectively for distances up to 18 feet. Beyond this distance, your brain starts using relative size and motion to determine depth."

What has brain performance anything to do with the discussion at hand? Eyesight eyes are further apart than humans anyway.
That humans use size to determine distance when driving