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I wonder if the cameras or ML are thrown off by flashing emergency lights or emergency vehicles' livery (most cars on the road use just 1 paint color)
by Rebelgecko 5y ago
I wonder if the cameras or ML are thrown off by flashing emergency lights or emergency vehicles' livery (most cars on the road use just 1 paint color)
- ajross 5y agoYeah. I'm as big a Tesla booster as you'll find but I'm in the "this is probably a bug in recognition" camp. They can presumably fix this via properly parametrized modelling. It's not a rare edge case at all.
- myself248 5y agoI have a hunch that at some point, there'll be an investigation and a discovery process, and we'll learn that the training dataset deliberately _excluded_ emergency vehicles because they didn't represent "normal driving" or something. That's purely uninformed speculation, but I could see it happening like this: Early on, someone says "The totality of situations encountered on the road is too complex. We're not building a system to do everything, we're building it to take over during the boring parts of a drive. Only teach it the boring stuff." Then a few years later, someone else, forgetting those initial assumptions, says "Hey this thing has done like a billion miles of boring stuff, why wouldn't you trust it for more?"
- ajross 5y agoNo, the car sees emergency vehicles. It sees stopped vehicles. It sees vehicles stopped across lanes. This situation is far, far more common than the count of actual accidents we've seen. There probably is a bug, but it's not remotely as simple as "can't see fire engines".
- antattack 5y agoUntil recently Tesla relied on forward microwave radar to detect collisions which is very bad at detecting stationary objects. Great majority of stationary cars on a highway are emergency vehicles, hence the 14 or so collisions.