this post was submitted on 07 Mar 2024
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LIDAR is crucial for self-driving systems to accurately map their surroundings, including things like "how close is this thing to my car" and "is there something behind this obstruction." The very first Teslas with FSD (and every other self-driving car) used LIDAR, but then Tesla switched to a camera-only FSD implementation as a cost saving measure, which is way less accurate--it's insanely difficult to accurately map your immediate surroundings bases solely on 2D images.
I disagree. Humans are a living proof that you can operate a vehicle with just two cameras. Teslas have way more than two and unlike a human driver, it's monitoring its surroundings 100% of the time. Being able to perfectly map your surroundings is not the issue. It's understanding what you see and knowing what to do with that information.
Humans also have the benefit of literally hundreds of millions of years of evolution spent on perfecting bicameral perception of our surroundings, and we're still shit at judging things like distance and size.
Against that, is it any surprise that when computers don't have the benefit of LIDAR they are also pretty fucking shit at judging size and distance?
Reality just doesn't seem to agree with you. Did you see the video I linked above? I feel like most people have no real understanding of how damn good FSD V12 is despite being 100% AI and camera based.
Hey... fuck elon and fuck tesla