That’s tangential to your original point of discussion which was sensor integration. Sensor fusion is absolutely a solved problem. Autonomous driving requires more than just sensor fusion though.
It's not tangential at all. If the purpose of these sensors is for autonomous driving, and "solving" sensor fusion hasn't gotten you there, how can you possibly say it is a solved problem? Sensor fusion (in this context) is not solved until you are using fused sensors for autonomous driving.
Why are you equating sensor fusion with solving the entirety of autonomous driving? That’s disingenuous. You understand sub problems can be solved, right? Sensor fusion is just combining different sensor inputs so you have high confidence in your object detection and you’re not “confused with disagreements” as Tesla likes to say. Self driving involves solving prediction and planning problems too, not just sensor fusion.
I'm not equating it with solving the entire problem, I am pushing back against the idea that autonomous driving can be sub-divided into completely discrete sub-problems. So I guess you could say no, I do not understand that sub-problems can be solved.
Object detection is inextricably linked with prediction which are both inextricably linked with planning.
Of course, they are linked. It doesn't mean you need to operate worldwide to prove sensor fusion is working. There is no scaling issue with it. Sensor fusion is already proven effective as companies using it are showing excellent safety records where they are operate. The Tesla complaints about "what do you do in case of disagreements?" don't hold good anymore. They just don't want to invest in get it working (but are now forced to as they re-introduce radar in their vehicles).