Will cars ever be capable of driving
themselves? Someday. But the computer software packages
designed to control steering, braking, and throttle are
in the midst of a trial-and-error learning stage all too
reminiscent of a teenager's first experience behind the
wheel. Only after some unnerving instruction—and
perhaps a dented bumper or two—are they good enough to
go solo.
On 9 October, computer algorithms showed that cars
might just be ready to take the wheel without human
chaperones. That was the day that four autonomous
vehicles completed a 211-kilometer racecourse stretching
through Nevada's Mojave Desert in less than 10 hours, as
required by the rules. The autos avoided boulders and
other obstacles, traversed bridges, and maneuvered
through hairpin turns on mountain switchbacks as they
vied for the US $2 million winner's purse.
The race, organized by the U.S. Department of
Defense's R&D arm—the Defense Advanced Research
Projects Agency (DARPA)—was won by a Volkswagen Touareg
SUV developed by a team from Stanford University, in
California [see photo, "Winner"]. The Stanford car,
dubbed Stanley, finished in 6 hours, 53 minutes—11
minutes ahead of the second-place finisher, one of two
Hummers in the race that were rigged up by the Red Team
from Carnegie Mellon University, in Pittsburgh.
The outcome of the race, known as the Grand
Challenge, showed just how far autonomous vehicles have
come in a year. No one claimed the $1 million prize
offered by DARPA in 2004. That year's winner—if you
could call it that—hadn't gone 12 km before it skirted
the edge of a cliff so closely that it got stuck. Its
wheels continued to spin until one of the tires caught
fire and the vehicle had to be deactivated remotely.
Only two of the race's other 14 entrants passed the 2-km
mark [see "Sand Trap," IEEE Spectrum, June 2004].
Explaining the vast improvement over last year's
pitiful showing, a Stanford engineering school spokesman
said: "The robotics community has learned a great deal
about how to make cars drive themselves. In fact,
artificial intelligence was employed in Stanley's
programming that allowed it to continually learn during
the testing conducted in the months leading up to the
race."
DARPA issued the challenge as a way to help the
Defense Department meet a 2015 deadline for making 30
percent of the U.S. military's land vehicles autonomous.
Unmanned vehicles could prove valuable in combat zones
such as Iraq, where hundreds of soldiers and civilians
have been killed or maimed by explosive devices planted
on roadbeds.