[atx2bos]

to my knowledge, Tesla has gone the computer vision route where they are solely relying on cameras and algorithms, while Waymo went the way of more traditional LIDAR and other scanners to close achieve the safe full self drive.

The disadvantage of using the LIDAR and full sensor stack is largely price.

[ra7]

The advantage is that it works.

[ronnier]

So does Tesla’s. I use it daily. From home going through a busy city, onto a major highway with rush hour traffic, into a downtown area to work. It can do this without me touching the wheel or pedal for the entire length of the drive. I have a hw4 S plaid and it’s made dramatic improvements over this last year. I’m blown away at how good it is (also blown away by waymo).

[sixQuarks]

You kind of have it correct, but Tesla is using vision, AI, and huge amounts of data. It’s like the chat-gpt of autonomous driving.

The data is the most important part, to solve real world driving everywhere, you need huge amounts of data for all the edge cases. Tesla has millions of cars on the road gathering this data, vs a couple of thousand for Waymo

[bryanlarsen]

Data quantity is useless if the data is of low quality. You need to be able to judge the car's performance in simulations to guide training. Elon admitted in the latest quarterly this is a huge problem for Tesla -- they have to do many millions of miles of simulations to compare two models. Higher fidelity data would cut this number by many orders of magnitude.

[AStonesThrow]

> Tesla has millions of cars on the road gathering this data, vs a couple of thousand for Waymo

Except that Alphabet has been mapping and scanning for years, since before Waymo. And, Waymo vehicles are on the road while waiting for a fare, so they can use that time for mapping, while Teslas are reliant on where their owners go.