Not a fan of Musk at all, but Lidar is quite expensive. A 64 line lidar with 100m+ range was about 30k+ a few years ago (not sure how prices have changed now). The long range lidar on the top of the Waymo car is probably even higher resolution than this. It’s likely that the sensor suite + compute platform on the waymo car costs way more than the actual Jaguar base vehicle itself, though waymo manufactures it’s own lidars. I think it would have been impossible to keep the costs of Teslas within the general public’s reach if they had done that. Of course, deploying a self driving/L2+ solution without this sensor fidelity is also questionable.

I agree that perception models will not be able deal with this well for a while. They are just not good enough at estimating depth information. That being said, a few other companies also attempted “vision-only” solutions. TuSimple (the autonomous trucking company) argued at some point that lidar didn’t offer enough range for their solution since semi trucks need a lot more time to slow down/react to events ahead because of their massive inertia.

Ah I see, thanks for the correction! (It also kind of demonstrates the problems I have with my own language :P)

My language is diglossic - it has a written form and a spoken form that are very different to each other. It’s quite difficult to understand the written form if you’ve only grown up speaking and listening to the language, as the written form is essentially the language as spoken in the 1600s.

To compare it to English, it would be like saying “Where are you?” to someone over the phone, but then having to send them “Wherefore art thou?” as a text.

It has a lot to do with AI. Their systems use a lot of deep learning etc to recognize agents/obstacles on the road (perception), to infer how the agents will move in the future (prediction), and to generate trajectories for their car (motion planning). It definitely isn’t Artificial General Intelligence, but it is most certainly AI.