"Each of the crashes that self-driving cars can be fixed and prevented from happening again."
If those situations recur exactly as they happened the first time, sure they can be prevented from happening again.
That is, if a car approaches the exact same intersection as the exact same time of day, and a pedestrian that looks exactly like the pedestrian in this accident crosses the street in exactly the same way, with exactly the same other variables (like all the other pedestrians and cars around there that the sensors can see), the data could be enough the same that the algorithm will detect it at close enough to the original situation to avoid the accident this time.
But it's not at all clear how well their improvements will generalize to other situations which humans would consider to be "the same" (ie. when any pedestrian in any intersection crosses any street).
If those situations recur exactly as they happened the first time, sure they can be prevented from happening again.
That is, if a car approaches the exact same intersection as the exact same time of day, and a pedestrian that looks exactly like the pedestrian in this accident crosses the street in exactly the same way, with exactly the same other variables (like all the other pedestrians and cars around there that the sensors can see), the data could be enough the same that the algorithm will detect it at close enough to the original situation to avoid the accident this time.
But it's not at all clear how well their improvements will generalize to other situations which humans would consider to be "the same" (ie. when any pedestrian in any intersection crosses any street).