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> driving in an uncontrolled environment is really a general AI problem Is it? Unless you are talking about NASCAR, an adversarial game where rational agents c
by cornholio 8y ago
> driving in an uncontrolled environment is really a general AI problem
Is it? Unless you are talking about NASCAR, an adversarial game where rational agents compete for road space, driving is essentially a physics problem: maintain a speed and direction that does not exceed the vehicle's ability to correct them so as to avoid any stationary or mobile obstacle.
In this case, the vehicle was accelerated to a speed (72mph) that far exceeded its safety speed against oncoming stationary barriers (0mph).
I concede that discerning what is an obstacle and what is drivable road surface is a hard computer vision problem, hence the tendency to simplify it using 3D data, radar/lidar etc. But still, not quite general AI.
- jakelarkin 8y agoyou can break it down to various expert-system subproblems - perfect cv image classification (+ low visibility ) - anticipating behavior of bikers, children, elderly, animals, near roads - responding to human non-verbal communication - responding appropriately to never before seen obstacles/scenarios without being a nuisance on the road or endangering other drivers - vehicle dynamics (+ in rain, ice, snow, emergency etc) ... I would guess to do these tasks with accuracy similar to humans approaches a problem space that's as difficult as general AI some of these seemingly require the machine to have theory-of-mind which is general AI
- bobsil1 8y agoYep. Broad world model, physics, common sense, human communication, prediction, reasoning. Waymo’s low-level stack on hi-res map rails can’t replace human drivers.