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.
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.