(This could help human drivers too; just add a red/yellow/green light to the car dashboard for those times when you can't see the actual light because there's a big truck in the way, or the sun is directly behind the traffic signal.)
I also expect that by the time this sees near-universal adoption, we'll already have the image recognition corner cases mostly worked out.
[1] http://www.theverge.com/2016/12/12/13923254/audi-v2i-las-veg...
Ought to be maintenance free and a nice way for the big trucking lines to differentiate their public face - similar to those aero ground effects that are showing up on trailers.
e.g., stand in hi-vis at an intersection holding a "Slow" sign regardless of the red light above.
Perhaps the most concerning thing is that someone could create a nefarious image that's not obviously nefarious to humans. I mean, we've all seen the very slight adjustments required to trick state-of-the-art image classification systems into thinking a cat is really a crocodile.
I doubt it. It's not even clear that it shouldn't treat a painted green dot like a green light.
I swear to good the city of San Francisco could car less about this issue. I've gotten to the point where I look for the painted STOP on the road, rather than the stop sign.
I assume either the computer could recognize the painted letters on the road (they are often in bad shape) or the GPS would inform the computer that a stop sign exists? So it doesn't have to look for it?
Is it likely just using some image recognition and a confidence level to determine when it is safe to go?
If so, could the system be fooled by a sign that is meant to always look like a red light? Or worse, a green light to trick the system to run a red?