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[CVPR'21 WAD] Keynote - Andrej Karpathy, Tesla

WAD at CVPR · 51.2K views · 2021-06-24 · 31:32

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Overview

Andrej Karpathy, then Tesla's head of AI, gives a CVPR 2021 workshop keynote on how Autopilot's neural networks work. A large part covers the move to a vision-only stack, including why radar was dropped and how vision produces depth estimates.

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HN commenters cite it in Tesla threads as the primary-source explanation of why Tesla removed radar and how its vision depth estimation works.

Recommended by 4 HN people across 3 months · HN mentions 2021–2023

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What people said

fossuser · 2023-05 · Strong recommendation

This talk was worth watching (any Karpathy or Carmack talk is imo): [VIDEO] Specifically this is the relevant part: [VIDEO] They removed radar because it was making things worse.

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ggreer · 2022-05 · Recommendation

Radar has poor resolution, which means it can't always differentiate between an object near the car's path and an object in the car's path. The radar can give false positives when there's a truck on the side of the road or a metal sign on an overpass. Then you have to use the vision cameras to figure out what's really going on. Radar also loses its "lock" sometimes, which can be an issue with cars braking quickly. The radar will say "no obstacles detected" when the car in front of you is slamming on the brakes. Again, you have to use the vision cameras to figure out what's actually going on. The people at Tesla decided that the radar was creating more noise than it was helping with, so they removed radar last year. Andrej Karpathy explains it in far more detail in this talk: [VIDEO]

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JoshCole · 2022-05 · Recommendation

> These are the same things that can cause a traffic accident for a human with human eyes, so there's really no logical reason to assume that you can create a more performing and safer computer driver by emulating human vision only. Okay. This is a concrete claim that I think is falsifiable. I'll give not just one, but multiple arguments. Argument 1: Connect Four, Chess, Checkers, Go, Limit Hold'em, No Limit Hold'em, Poker, DOTA, and Starcraft II are all examples of games in which AI outperforms even the best humans despite having equal sensory access. Driving can be reduced to a problem comparable to playing an imperfect information game and we can play imperfect information games at superhuman levels using computers. Therefore, it is reasonable to expect that even human-level sensory access can enable safer than human performance. Argument 2: Currently we have statistics on driver-assistance programs that demonstrate that human + technology assistance is superior to human alone. This holds true even in cases in which those assistance technologies are only using vision. So we have a contradiction. If it wasn't possible to do better than human with only human senses, we wouldn't be able to point to many different situations in which driving with an AI clearly outperforms humans, but we can. For at least those subsets of AI driving, we can say that an AI driver will outperform humans. > I can't understand why they removed radar. Check out [VIDEO] for a very detailed breakdown

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Sources

Video by WAD at CVPR, played through YouTube.

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