In fairness, the company best positioned to harness user input to an AI that avoids crashes would probably be Rockstar. OTOH, that AI would definitely not obey stop signs or pedestrians.
I don't know if it is or isn't, I never drove one, but those are two completely different standards
But I guess people these days just love to jump on the opportunity to hate whatever is trendy to hate at the moment.
0 - https://www.progressive.com/lifelanes/on-the-road/understand...
I have an older tesla S with the pre-ai so called autopilot. It has one camera in the front and a radar and the system detects a few things like speed limit signs. The main extent of what it can do is follow the current lane pretty wall, even when it curves, slows down if it comes up to a car going slower than its preset speed. The good thing is it works on any road. It does a shockingly good job.
The later systems with onboard special processors are like a crazy beginning driver to has way too much confidence and drives in dangerous situations willy nilly. There are many other people who have explored it and written long posts. It's not safe. You can try to use it be you have to be constantly paying extreme attention. It's like watching your kid drive the first time. I know you should be watching the stupid ai all the time, but it's far from being safe.
"Good" drivers see questionable situations and slow down or position themselves farther from potential issues before they get to the issue so they don't have to react at the last minute.
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...
“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...