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[-] Vilian@lemmy.ca 1 points 1 year ago

why? what he said about lidars?

[-] someguy3@lemmy.ca 8 points 1 year ago* (last edited 1 year ago)

That lidar systems are doomed to failure.

Super long term when machine vision works very well he's right. The question is how long will that take. 5 years? 20 years? 40 years?

[-] Neato@kbin.social 4 points 1 year ago

Maybe he should have invested in more AI instead of buying Twitter to ban people.

[-] eltimablo@kbin.social 4 points 1 year ago

Anecdotally, I've been on the full-vision stack for several months now and it's significantly better at detecting pedestrians and motorcycles. I've also had no phantom braking events since I got into the beta, which is just as important to me. Just last night I had it drive me 10 miles home on Pennsylvania back roads and I didn't have to touch the wheel until it got to my house.

That said, I think having a detailed 3D map of the environment directly out of the sensors is far more useful than trying to generate one from video, but I also don't see a reason not to do both. I'm pretty sure they use Lidar to train the FSD model, too.

this post was submitted on 10 Jul 2023
114 points (95.2% liked)

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