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How do we recognize whether an object in front of a car is just a plastic bag in the wind or a baby?

o At speed we're pretty ok with cars hitting things people drop on the road, examples of cars hitting wagons and babies are already plentiful

o Visual recognition & rapidly updated multi-mode sensor data, backed by hard-core neural networks and multi-'brained' ML solutions, have every reason to be way better at this job than we are given sufficient time... those models will be working with aggregate crash data of every accident real and simulated experienced by their systems and highly accurate mathematical models custom made to chose the least-poor solution to dilemmas human drivers fail routinely

o AIs have multiple vectors of possible improvement over human drivers in stressed situations. Assuming they will bluntly stop ignores how vital relative motion is to safe traffic, not to mention the car-to-car communication options available given a significant number of automated cars on the road -- arguably human drivers can never be as smooth as a fleet of automated cars, and "slamming the brakes" is how people handle uncertainty already

Presently the tech is immature, but the potential for automated transport systems lies well beyond the realms of human capabilities.




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