A marketing document does not convince me. But even if I take this at face value, they’re talking about estimating future movements based on current trajectory, which is fine and good, but not the scenario raised by the OP.
If I see a child standing near the side of the road, I use more than the velocity and trajectory of the child to estimate future behavior: I look at the direction the child is facing, the overall situation (e.g. is the child playing a game?), what the child is paying attention to, and so on. A child waiting at a bus stop is a dramatically different scenario than a child looking across the street at a puppy. A short adult standing on the side of the road is dramatically different than a child.
This is a hard problem involving multiple levels of recognition and inference. I have little faith that it is solved. My suspicion is that the “engineering solution” is used (i.e. slow down when a human-probable object is near the road). That might work, but will lead to a car thar drives like a paranoid senior citizen with bad eyesight.
I have a suspicion that we’re going to look back in a decade and realize that most of these problems are fundamentally intractable, and that the best any system can do is react via human-encoded heuristics. If so, the path to full autonomy will be an asymptotic one; it will not happen quickly, but through decades of gradual refinement, with lots of fatalities along the way.