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I highly recommend listening to this podcast episode. Lex Friedman interviews Andrej Karpathy (former director of AI at Tesla): https://podcasts.apple.com/us/po

I highly recommend listening to this podcast episode. Lex Friedman interviews Andrej Karpathy (former director of AI at Tesla): https://podcasts.apple.com/us/podcast/lex-fridman-podcast/id1434243584?i=1000584342757 https://podcasts.apple.com/us/podcast/lex-fridman-podcast/id... 1:32:39 Andrej explains why Tesla removed Radar and relies on vision. Part of it is that other sensors bloat and complicate the software needed to interpret data coming in. What if they get conflicting signals? There may be calibration or manufacturing inconsistency to account for. You need to normalize that in your software and the entropy quickly gets out of control. I find this explanation very compelling and feel like vision is the more "necessary" sensor anyway. After all, roadways are designed to be navigated using vision.

bloodyplonker22 3y ago
He "forgets" to make a point of the number one reason they don't use lidar: cost.
- yreg 3y ago
  For lidar surely, but what about the ultra sonic sensors?
callalex 3y ago
If something is required for the core functioning of your product, that thing is not “bloat”. That’s like saying “It’s really hard to do security and authorization for this server I’m setting up, I’ll just call it bloat and leave everything open.”