this post was submitted on 03 Sep 2023
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When a service is willing to take responsibility for collisions and driving violations, then we know it works. If the guy asleep at the wheel (which he allegedly can do in an autonomous car) is still the one held responsible, then were not there yet.
That said end-to-end AI totally sounds like equivocal marketing buzz.
I wonder what happens when the car is on a collision course with a golden retriever and the only way not to hit it would be to damage the car. Or same scenario, but the only way not to hit it, is it to hit an 07 Carolla parked on the side of the road. Not saying humans have superior judgement... just wondering if it will be programmed by the theory of actuarial of philosophical science.
That makes me think- will the AI see a kid that's about to run out from behind a parked car? As a human, if I see a kid run from the house into a row of parked cars, I know he's still there and will slow down before I get there. But would self driving make that same leap of logic? I'm not sure what the range and capabilities of self driving cars are right now in terms of scanning, but hopefully it would be smart enough to take preventative measures
Good question. Neural networks are modelled after how brains learn and process information, so it's certainly theoretically possible for a neural network (or other machine learning algorithm) to make inferences like that, just like how you've learned them with years of experience.
The biggest challenge in any machine learning is finding enough labelled training data. In fact, a friend of mine contributed to a paper in which (no joke) GTA V was used to generate labelled training data for an automous vehicle. Because it's a game engine, every object in the game is already digitized, and the 3D modelling is accurate enough to be useful, at least. This vehicle used LIDAR so the actual shaders and such didn't matter as much as the 3D point cloud.