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eyesight has stereoscopic vision, so can compute actual distances from obstacles from the input feed instead of faking it all with machine learning.
by avereveard 5y ago
eyesight has stereoscopic vision, so can compute actual distances from obstacles from the input feed instead of faking it all with machine learning.
- mavhc 5y agoWell,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."
- avereveard 5y agoWhat has brain performance anything to do with the discussion at hand? Eyesight eyes are further apart than humans anyway.
- mavhc 5y agoThat humans use size to determine distance when driving
- simondotau 5y agoIf 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 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.
- avereveard 5y agobeing 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 https://twitter.com/greentheonly/status/1412597377228226562 - specifically the 'trained' heath signature running horizontally across the dash.
- simondotau 5y agoIt’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.