Autonomous Vehicles and the Perils of Prediction


I am a big believer in rehearsing the future versus attempting to predict it. The wild swings we experience when following future scenarios can range from bold predictions of imminent manifestation to dire warnings that a scenario will never be realized. In this Recent Article, the author describes how the auto industry is rethinking the timetable to realizing level 5 autonomy. Turns out we underestimate the human intelligence required  to drive a car and overestimate our ability to replicate it. The article provides simple examples:

When a piece of cardboard blows across a roadway 200 yards ahead, for example, human drivers quickly determine whether they should run over it or veer around it. Not so for a machine. Is it a piece of metal? Is it heavy or light? Does a machine even “know” that a heavy chunk of metal doesn’t blow across the roadway? It’s a tougher problem.

Or how about this challenge that humans for the most part handle very well:

When a car arrives at a four-way stop at the same time as another vehicle, for example, it’s a dilemma for a machine. Human drivers tend to nod or make eye contact, but micro-controllers can’t do that.

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Self Driving Delivery


The hype around autonomous technology continues. The focus, investment and rapid advancement in this space has changed the way leaders Think about the Future. The science-fiction feel of a future-focused discussion has disappeared – replaced by the reality that the future is appearing faster than we think. Look no further than self-driving delivery.

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