Stanford University has set a new milestone in the
driverless car effort by racing their programmed car around a race track faster
than a race car driver. Engineers raced their car against David Vodden, an
amateur class champion, at Thunderhill Raceway Park. After studying the layout
of the track and the brain activity of race drivers, they developed a working
program which allowed the car to race the track at speeds of over 120 miles per
hour. The mathematics behind getting a racecar to maintain traction on the
track at high speeds are exactly the same as when a normal driver faces
non-standard driving conditions on the highway. The data garnered would
directly benefit safety programs that would be required on commercial
autonomous cars. The Stanford team studied race drivers in adverse situations
to learn how to react to similar situations when the computer is driving. They
learned that drivers actually rely on instinct rather than judgment when their
cars lost traction and slipped around. By programming their computer to rely on
a set response when detecting slippage instead of a stabilization algorithm,
the engineers saw a positive effect in the computer navigating the track. Just
like a driver, the computer has to quickly decide how to handle a difficult
maneuver.
Through all this data acquisition and analysis, the
Stanford team got their car to lap the track 0.4 seconds faster than and
amateur race driver. This is just another stepping stone in developing the technology
behind autonomous cars for commercial use. Things like safety and reliability
have to be nearly guaranteed as error-proof before consumers will buy into it.
By learning how to get a race car to lap a race track with faster times, the research
can easily be translated for the consumer world. Wait another 15 years and I am
confident the technology will have matured enough to see the first driverless
car in the market.
http://www.telegraph.co.uk/news/science/science-news/11410261/Driverless-car-beats-racing-driver-for-first-time.html
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