Tesla’s Autopilot is suspected in the fatal rear endings of two motorcyclists. With deep learning doing automated feature extraction, it's impossible to know...
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.
why? what he said about lidars?
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?
Maybe he should have invested in more AI instead of buying Twitter to ban people.
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.
https://youtu.be/yRdzIs4FJJg?t=349