Yes they can track some moving objects and if it is currently on a collision course it will react, but not until the point where it’s clear that it is going to hit the thing. The car isn’t going to gauge the situation and identify that there may or may not be a situation in which it needs to act or not.
For example, is an AI driver going to recognize an animal running in a fenced in yard as something it can ignore? What about when the animal is running in a trajectory that the car could see as an intersection in the future, but is otherwise prevented by the fence?
Or another common occurrence, you are driving in the right lane of a street, and traffic gets backed up in the left lane so a person doesn’t look and just pulls into your lane. A good defensive driver would be slowing down a little and looking for any signs of someone trying to switch lanes. I guarantee an AI car would not identify the possibility until someone started making a move.
For it to truly be AI, it needs to think in advance, sort of like the chess computers do. It needs to take the current and past states, and judge possible future states and weigh them. Then take the outcomes from that process, and integrate them into future decisions. That is true AI, a lot of the AI that exists is just this static chain of probabilitys that sprinkles some randomness on top to appear as if it’s different each time.
Work at a dishwasher factory. We used to make a model with windows, they were really expensive parts, which meant that they were really expensive dishwashers for a feature that really isn’t useful.
It makes sense in a microwave or oven because you can check in and make sure it’s all good, or pull it out if it’s done. You can’t do that with a dishwasher, it just runs it’s course.
Plus all you could see in the thing was splashing soap water.