[voqv]

The industry has been sensor fusion for decades. Training Autopilot neural networks to hallucinate road parts is easy but doing uncertainty estimation on simple radar measurements is hard? Also you still have to fuse the data from the multiple cameras.

I'm almost doubting my entire knowledge in the field now when all of a sudden everyone just accepts that "sensor fusion is hard" statement.

[feifan]

I'd imagine sensor fusion in this context isn't a singular problem right? It seems entirely plausible that for Tesla's system, it's straightforward to integrate cameras where the resolution is known and data is homogenous in a certain way, and that it's hard to integrate and use radar data into that system.

[voqv]

The Model 3 has a ARS-4B radar and these things usually already do perception for you, so the output is a list of vehicle velocity and pose. Given what I know about Autopilot , I don't see how is that hard to fuse. And I doubt the supplier of the radar (Continental) gave Tesla raw data access.

I just think there's more to the story than we're getting. Impossible to tell for an outsider though.