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SoylentRox t1_j61ooee wrote

To add to this: self driving stacks can (i assume they do) bin each detected object to an entity class.

Objects from class "road barriers" or "assorted road obstacles" are worth less than class "bus" which is worth less than class "school bus" which is worth less than class "semi".

So while the machine won't know if the school bus is empty, if there's ever a choice of which object to plow into, it will have somewhere in the codebase an approximate value by class. (and then also weight by the kinetic energy of the collision - it might choose to hit the school bus if it predicts a lower KE at impact than the other choices)

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TheAnonFeels t1_j63rzib wrote

Definitely, eventually things will all have weights, as far as i know (using tesla as an example since they've taken this the furthest) they do object detection to find pedestrians or cars for that matter. Taking it further and adding weights to the object and then further into damage prediction would be a great way to extend that.

However I'm not sure what advantage it would have if AI driven cars' accident rate falls so low that collisions are rare, outside of weighting human/human carrying things vs property.

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