Interesting, because Waymo is multi-sensor, so they figured something out (and have not abandoned it). And i know this is a big point of difference of waymo vs tesla, that Tesla is camera only, as I understand it.
And a quick web search shows the multi-sensor approach has plenty of attention.
As an aside, for people that are not technically trained and experienced in the details (Musk, Altmann), I am realizing, the more I hear from them and learn about their backgrounds, the less serious I take them on technical matters (they are both basically fundraisers). Even if they listen to their engineers, it’s still not clear to me how much they really understand to be making any kind of technical predictions.
Just time and space synching the data, I am sure, is a non-trivial data problem - and that is before any machine learning. (Although one has to synch multiple sources of camera data.) To hear Musk acknowledge decisioning from the multi-sensor data is “too hard” (my words), is interesting given that Waymo persists with multi-sensor.
Upside: keeping lots of people employed trying to figure this out.
Here’s another take, which I’m sure is recognized by robotics teams.
What sensory approach did evolution (mother nature) take?
I see a lot of multi-sensor species out there.
Disclaimer: not expert in robots