“Sour grape Elon, touting vision because no one will sell him LiDAR sensors. Which are the gold standard sensors that solve self driving.”
How exactly does LiDAR tell you whether the thing in question can move (dog) or not (trash can)? How does it allow a neural net to infer intent?
You’ll actually have to solve vision. Even if you had LiDAR. There’s no way around it. And once you’ve solved it, LiDAR becomes superfluous.
Chesterton’s fence.
LIDAR is continuously scanning, usually multiple times a second. It is irrelevant if the object is a trash can or a dog if it has a trajectory into the street.
> And once you’ve solved it, LiDAR becomes superfluous.
Only if you have the low Musk level standards of simply being equal to a human. There are plenty of jobs robots can do better than humans and driving is one of them. But it does require LIDAR and/or radar.
https://abc7news.com/tesla-s-autopilot-self-driving-car-offi...
But they have? For years Google Street view has read signs, house numbers, phone numbers of businesses, etc. from the environment. It is safe to assume they have this built into Waymo as well.
I assume you might be trying to reference "vision only" self-driving, which is a fantasy made up by Elon Musk because nobody would sell him LiDAR sensors cheaply.
https://www.thedrive.com/tech/43779/this-tesla-model-y-dummy...