Audi’s Robotic Car Drives Better Than You Do

   - By Chuck Squatriglia
<http://www.wired.com/autopia/author/wiredchuck/> [image:
   Email Author] <chuck_squatrig...@wired.com>
   - March 31, 2010  |
   - 8:00 pm  |
   - Categories: Cool Cars<http://www.wired.com/autopia/category/cool-cars/>
   -




 The race to the top of Pikes Peak is among the most harrowing in
motorsports, a flat-out sprint through 156 turns on a 12.4-mile road to the
clouds. It is a test of grit and skill that demands the best from drivers as
they brave perilous drops at 130 mph. Audi thinks it can do it *without* a
driver.

The German automaker will send an autonomous TTS barreling to the summit in
September. It will navigate the course at race speeds — the best drivers
make the run in around 12 minutes — with no one at the wheel or even in the
car. No one’s ever attempted anything like it before. Although robocars have
driven the course, they haven’t done it at more than 25 mph. Audi says it is
pushing autonomous-vehicle technology to its very edge in an effort to make
the cars the rest of us drive smarter and safer.

“We’re interested in the safety opportunities this technology presents,”
said Dr. Burkhard Huhnke, executive director of the Electronics Research
Laboratory. Volkswagen Group, which owns Audi, works alongside Stanford
University at the lab in Palo Alto, California. “We want to understand the
best way to use this technology to provide additional support to drivers in
critical situations.”

[image: audi_fb]<http://www.wired.com/images_blogs/autopia/2010/03/audi_fb.jpg>

Audi, Volkswagen and Stanford are building on their success with Stanley, a
VW Touareg <http://www.wired.com/wired/archive/14.01/stanley.html> that won
the DARPA Grand Challenge in 2005, and Stanley, a VW
Passat<http://www.wired.com/cars/futuretransport/news/2007/10/grandchallenge_walkup?currentPage=all>that
took second in the DARPA Urban Challenge in 2007. Those vehicles used
radar, sensors and cameras to track the road at relatively low speed on a
closed and controlled course. The TTS will use differential GPS and an
inertial measurement system to tackle a road where anything can happen.

“We’re aiming high,” said Chris Gerdes, director of the Center for
Automotive Research at Stanford. “Pike’s Peak has been a challenge since the
first race in 1916. It is a place where you have to push to the very limit,
and there’s a very stiff penalty if you get it wrong.”

The car won’t compete in the Pike’s Peak International Hill
Climb<http://www.usacracing.com/ppihc>in June. But the all-wheel drive
TTS will follow the same course the racers
use. It’s a mix of pavement, dirt and gravel that rises 4,721 feet at an
average grade of 7 percent. The current record for a production-based
all-wheel-drive car stands at 11:48.434. No one expects the TTS to hit that
mark, and it won’t achieve the kind of speeds rally driver Marcus
Gronhölm<http://www.wired.com/autopia/2009/07/fiesta-pikes-peak/>or
four-time winner Nobuhiro Tajima have, but it will make the run faster
than you ever could.

“I want to go up the mountain much faster than anyone with any sense of
self-preservation would go,” Gerdes said.

The robocar is a 2010 TTS. The team chose it because it features a
fly-by-wire throttle, adaptive cruise control, a semiautomatic DSG gearbox
and other gadgetry. That made it relatively easy to make the car fully
autonomous using electronics developed at the Electronics Research Lab.
[image: Differential GPS tracks the car's location to within 2
centimeters.]<http://www.wired.com/images_blogs/autopia/2010/03/audi_fd.jpg>

Differential GPS tracks the car's location to within 2 centimeters.

“The components we added that actually interface with the car would fit in a
shoebox,” said Marcial Hernandez, a senior research engineer at the
Electronics Research Lab. “The largest component by far is the gyroscope,
and it’s an 8-inch cube.”

The TTS is named Shelley in honor of Michèle
Mouton<http://en.wikipedia.org/wiki/Mich%C3%A8le_Mouton>,
an Audi rally driver and the first woman to win at Pikes Peak. Shelley uses
differential GPS to track its location to within 2 centimeters, though
Gerdes says the margin will be closer to 1 meter on the mountain.
Wheel-speed sensors and an accelerometer measure its velocity and a
gyroscope controls equilibrium and direction. The algorithms that make it
all work run on hardware developed by Sun Microsystems.

“The computational power needed to do this is less than you’d find in your
laptop,” Hernandez said.

Redundant systems ensure a measure of safety, and Shelley can shut itself
down if the system detects a problem. The car also transmits real-time data
to the team, which can shut it down from up to 20 miles away.

Audi set up a dirt oval about the length and width of a football field and
let us ride shotgun for half a dozen laps (video at top of post). Although
there was a grad student behind the wheel, he was there only to monitor test
data and hit the kill switch should things go sideways.

Shelley accelerated to about 40 mph — Audi wouldn’t push harder with a
journalist in the car — fast enough to push us back in the seat. The car
applied the brakes as it approached the first turn and nailed the
apex<http://en.wikipedia.org/wiki/Apex_%28racing%29>.
It swept through the curve at 25 mph just at the limits of adhesion. The
back end broke loose once, but Shelley quickly counter-steered to bring
things back in line. The ride was as exhilarating as it was amazing, and
could only be much more so at a race pace. Shelley hit 130 mph at the
Bonneville Salt Flats, and the team hopes to top 150 later this spring at El
Mirage in Southern California.

“We’re developing the car to drive itself right at the very limits of its
performance,” Gerdes said.

The question, of course, is why.

Audi believes autonomous systems could make cars safer, easier and more fun
to drive. It isn’t trying to remove the driver from the equation. Rather, it
wants to create a car that can take over when you get in over your head. If,
for example, you hit a patch of black ice, the car could take corrective
measures to keep you from going off the road. Or if you blow it on a
downhill double-apex turn, the car could bring itself back in line.

“The safety aspects of this technology are very important to us,” Huhnke
said.

And that, Gerdes said, is why Audi is testing the technology on Pikes Peak.

“We’re modeling this on a race car,” he said, “because we want to design a
system that can assist even the best drivers.”

*Photos: Jim Merithew/Wired.com
More photos below.*

*See Also:*

   - MIT Robot Rides Shotgun to Make Us Happier
Drivers<http://www.wired.com/autopia/2009/11/mit-robot-rides-shotgun-to-make-us-happier-drivers/>
   - Wired 14.01: Say Hello to
Stanley<http://www.wired.com/wired/archive/14.01/stanley.html>
   - Darpa’s Robot Car Race: Gentlemen, Start Your
Processors<http://www.wired.com/cars/futuretransport/news/2007/10/grandchallenge_walkup%3FcurrentPage%3Dall>
   - VW Lifts a $5.75 Million VAIL at
Stanford<http://www.wired.com/autopia/2009/10/vw-vail/>
   - The Car of the Future Will Know You Can’t
Drive<http://www.wired.com/autopia/2008/05/the-car-of-the-future-will-know-you-cant-drive/>

[image: audi_f]<http://www.wired.com/images_blogs/autopia/2010/03/audi_f.jpg>

Although the back of the car is loaded with electronics, the components that
actually interface with the Audi’s control systems would fit in a shoebox.

[image: audi_ff]<http://www.wired.com/images_blogs/autopia/2010/03/audi_ff.jpg>

The interior is bone stock, except for the big red kill switch in front of
the gearshift. It’s mounted where the cigarette lighter would go.

[image: audi_fe]<http://www.wired.com/images_blogs/autopia/2010/03/audi_fe.jpg>

Mick Kritayakirana, a mechanical engineering doctoral candidate at Stanford,
keeps close watch on Shelley during testing. The car transmits real-time
data to the team, which can shut the car down remotely from as far as 20
miles away.

[image: audi_fc]<http://www.wired.com/images_blogs/autopia/2010/03/audi_fc.jpg>

The odds are this car can drive itself harder and better than you could
drive it.

Read More
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