Classification vs. Regression is not the issue. The real question is whether you model the uncertainty. And, btw, this is not a merely academic question, it has practical implications. I'll illustrate using the "truck-and-trailer problem". 1/n

https://twitter.com/ducha_aiki/status/1587366668845588480

It is sometimes difficult to know if we see a truck and a trailer, or we see a long truck (that is, whether we see one object or two). Let's see how to model the problem of predicting the position of the rear-side of a vehicle. 2/n

Congrats to #FSD team for the great progress!
Our Supervision system shares the camera-centric approach, but differs in some key elements.
1) Crowd-based HD map vs. SD map
2) Math-based vs. simulation-based driving policy
3) Multiple redundant systems vs. a single one
0/n 1/n
Humans drive better when they are familiar with the road ahead. Furthermore, it is better to solve problems offline than to solve them online. Offline has more compute, knowledge of the future, optimal weather conditions, and the ability to validate quality.