Earlier quoted context omitted.
If we're to trust what Elon and the team said during the last few AI day, none. They stated that the ultrasonic and radar sensors were actually performing worse than their pure vision stack.
I‘m ready to be convinced that this will be true at some point for the ultrasonic sensors. But by design the radar can see things that vision can never see. It seems like a bad idea to take that away.
Why Tesla removed radar and ultrasonic sensors [video]
481–483 of 483 posts
Re: Why Tesla removed radar and ultrasonic sensors [video]
#482Earlier quoted context omitted.
We're talking about radar and ultrasonic sensors here, not accelerometers. We're also talking about feeding them to a deep neural network. Not the same thing. Sensor fusion is not being done with a Kalman filter in this case.
Radar and ultrasound both give drastically less data than a simple 720p webcam. After postprocessing their output bandwidth is more similar to a 9-axis IMU than a camera.
Re: Why Tesla removed radar and ultrasonic sensors [video]
#483Earlier quoted context omitted.
> Is Tesla really optimizing for best performance at any cost or are they optimizing making more money and selling that to us as an improvement? More likely they had a fixed budget and optimized with that constraint, if they made a rigorous decision at all. But this is guesswork. I'm not speculating about how Tesla made the decision, just commenting on Karpathy's answer. His answer is correct even if it isn't true ,…
It's like the joke about the mathematician in the hot air balloon ... His answer is correct but it's not useful. It is correct there is some optimal solution short of an infinite number of sensors/technologies and larger than no sensors. The argument that Tesla is converging on the optimal solution vs. the more or less known reality that they couldn't get the components they needed to build enough cars is weaselly. B…
> It seemed like all the "full cost" negatives Andrej mentioned were related to Tesla's ability to execute, and not what would actually produce better results.
This is objectively wrong, and it's the only substantive part of the discussion. The rest is fantasizing about things nobody actually knows ("It's media training!") and imputing questionable motives to someone who hasn't done anything to deserve that ("He only cares about Tesla's bottom line!").