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​What can a computer learn from a race car driver?

(https://soed9-dev.stanford.edu/news/what-can-computer-learn-race-car-driver)

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​What can a computer learn from a race car driver?

​In a talk for the Entrepreneurial Thought Leaders series, mechanical engineer Chris Gerdes discusses the development of autonomous vehicles—and where they go from here.

Split-second decisions get made on a racetrack, but what happens on the highway when algorithms are in control? | iStock/AvigatorPhotographer

Split-second decisions get made on a racetrack, but what happens on the highway when algorithms are in control? | iStock/AvigatorPhotographer

On the racetrack, the checkered flag goes to the car that’s driven to its limits and maneuvered decisively in the moment.

On a two-lane road, the split-second act of passing a vehicle stopped in front of you becomes a way more complicated call when algorithms are in control. Autonomous-vehicle maker Chris Gerdes (https://profiles.stanford.edu/j-gerdes), professor of mechanical engineering, applies these findings and more to business and life. Watch the full talk below or read the transcript (https://stvp-static-prod.s3.amazonaws.com/uploads/sites/2/2018/01/ingenuity-derived-from-self-driving-cars-entire-talk-transcript.pdf).

 


Source URL: https://soed9-dev.stanford.edu/news/what-can-computer-learn-race-car-driver