>This looks like Cruise's fault
Imagine having to write the code that "detects" if a pedestrain is caught underneath the car
Imagine having to write the code that "detects" if a pedestrain is caught underneath the car
It could also be a "the software can't anticipate that this would be happening the way a human can because it doesn't have object permanence" problem. That's probably at least part of how a human would do it. But I have a suspicion that we're very, very far away from being able to get computers to do that in any sort of reliable way. So I'm guessing we're probably looking at specialized sensors if we want to handle this kind of situation appropriately.
Basically some sort of self-driving car equivalent of a human driver getting out of the car to check and make sure everything's OK.
I will say that I recognize that the visual representation may not be a 1:1 (in fact quite certainly isn't) mapping of the computer's "world view".
But it was quite ridiculous and definitely disconcerting seeing a level crossing with a train going through it and seeing the Tesla I was in acting like there was a traffic light that was erratically going red, while dozens of semi trucks flickered in and out of existence across the screen in front of me.
Anyone who has ever ridden in a Tesla knows they have no real perception of the world around them. Even just driving down the road they show icons of the things around them, which will randomly appear and disappear or change from busses to pedestrians to cars.
But I really don't expect that from the cars that go around without a driver.
It may have some ability to track specific things in specific ways in a manner that's hard-coded by engineers. But if that's the same thing as an actual mental model of the world then that implies that we've had a significant piece of AGI in the form of many video games for about half a century now and just not known it.
audio is difficult because a human can differentiate a woman screaming from the sounds of construction, etc. And also can tell that it's someone in shock vs someone in pain.
I'm unsure if audio processing is good enough for that yet, but imagine if someone were to try and you could get these vehicles to stop by screaming near them.
It's hilarious that the fucking things park themselves if you put a traffic cone on the hood, but if they get into a crash, especially one with a pedestrian? BEEP BOOP MUST MOVE!
Or…insert how many other edge cases? There are plenty of scenarios where it shouldn’t pull over, aren’t there? Training the myriad unique situations and proper responses just feels untenable, at least with current technology.
Besides that, hard edge cases will always exist and can only be solved by a human (or an AGI?) in the loop. But they are't too common, so just detecting that the situation is not solvable by the algorithm, doing nothing and waiting for a remote operator should scale well enough.