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 DesertRacing.com > News Archives

This is a Race to the Future!
SciAutonics LLC
& Elbit Systems Ltd to partner
with their second entry in the DARPA Grand Challenge
- An Autonomous Robotic Ground Vehicle Challenge!
No Drivers Wanted
Thousand
Oaks, CA -- The Defense Advanced Research Projects Agency (DARPA) announced
in the summer of 2002 that it wants to see an acceleration of development in
autonomous ground vehicle technology. To encourage innovative thinking, DARPA
has issued what has been aptly named the Grand Challenge, an autonomous robotic
ground vehicle race to take place on Saturday, March 13, 2004. DARPA has called
for expanded technological capability in ground vehicles as the next logical
step for a stronger mechanism of defense, and a team of local engineers and
scientists has risen to meet the challenge.
The Grand Challenge
involves a course of on-road and off-road terrain that must be completed in
less than ten hours to win. The route will be announced only two hours before
the race and the winning entry will be awarded a prize of one million dollars.
For more information on the race itself, go to www.darpa.mil/grandchallenge.
The
Thousand Oaks based SciAutonics LLC and internationally known Israeli company
Elbit Systems Ltd. have now formed a collaboration to enter the DARPA Grand
Challenge. Two major sponsors also coming on board are ESRI of Redlands CA,
known for their GIS technology worldwide and Airborne- 1, a top aerial LiDAR
mapping company based in El Segundo, CA. SciAutonics and Elbit Systems will
now be at the forefront of what promises to be a significant technical achievement
in the area of autonomous ground vehicles.
How
realistic is DARPAs challenge and how soon can this kind of technological
advancement actually be made? Although the task of building and equipping a
vehicle to drive itself through incredibly rough terrain at an average speed
of 25 mph is daunting at best, SciAutonics and their new (second) team have
the experts in the key critical areas necessary to achieve something of this
magnitude. It is only with the right combination of people and resources that
progress can and will be made. With a diverse mix of engineers, scientists and
business professionals, all contributing their talents and skills, this new
partnership is definitely on its way.
SciAutonics and
Elbit Systems are expected to play a major role in the development of this groundbreaking
technology that holds much
promise for the future of US defense. In addition, vehicles with the ability
to drive autonomously may also revolutionize the way transportation
is accomplished by the common citizen. This new technology, for example, will
ensure a safer environment by enhancing control and collision
prevention.
Reinhold Behringer,
SciAutonics Head Scientist thinks: "In a day and age where people are more
mobile than ever before, even in the daily
commute to work, the implications of this technology are tremendous. Can you
envision your vehicle dropping you off at work? Taking the
kids from school to soccer practice and driving without any distractions. Most
of us could sleep on the way to work and have the car wake us
up when we arrive.
Here is a little
information about the Elbit Systems-SciAutonics Team:
Team Leader: Paul Gunthner
Organization: Elbit Systems Ltd. and SciAutonics LLC
City and State: Thousand Oaks, CA
Primary Sponsors: Elbit Systems, SciAutonics, Rockwell Scientific Company,
Infinite Fabrication, ESRI, Airborne-1, Rockwell Collins and Rockwell Automation
(about a dozen additional sponsors are also contributing to the success of the
team to a somewhat smaller extent).
We asked Team
leader Paul Gunthner about the team, and the future of autonomous vehicles:
The
Elbit Systems-SciAutonics vehicle, Avidor-2004 (Autonomous Vehicle In Deserts
& On Roads) is based on an off road vehicle ("Dune Buggy") produced
by Tomcar, Ltd. Of Israel. The Tomcar is tough and proven! We see it as one
of the most durable Darpa Grand Challenge vehicles! The Tomcar has been fully
and extensively modified. Many additional features include operating actuators
and servos for shifting, steering, acceleration and braking. Our vehicle team
drivers can manually override the vehicle at anytime for safety and testing.
The autonomous
operation of Avidor-2004 is based on complete ground and aerial mapping using
advanced GIS (Geographical Information Systems) technology for finding the optimal
and safe route in the rough terrain and desert environment while adapting to
the terrain characteristics. Three-level hierarchical control system implements
actuators control, auto-driver control and precise navigation route following
control. For this purpose we use DGPS and INS systems. We will also be sharing
technology with the SciAutonics I Team. This will enable both teams to have
a multi layered suite of sensors including video, LIDAR, ultrasound, and RADAR
for obstacle detection and road identification. By weighing the strengths and
weaknesses of each sensor, the data from the various sensors are optimally fused
so as the most reliable information is obtained. The combined technology gives
both teams several layers of redundancy by independent backup systems. Our specially
developed "behavioral" software incorporated in the Main or Mission
Computer (MC), which is at the heart of the autonomous vehicle, will detect
and respond to various types of obstacles and will make decisions and course
corrections in real time as necessary.
We see our new
superior software as the key to making a successful run at the DARPA Grand Challenge
Race. The combination of Elbit Systems and SciAutonics is a great advancement
in producing new quality autonomous vehicle technology. We plan to use our resources
and talent not only for the Grand Challenge Race, but also for planning our
companys solid future: Manufacturing Autonomous vehicles!
For
More information contact:
sciautonics.com; elbitsystems.com
For information contact:
SCORE International at its Los Angeles headquarters
(818) 225-8402 or visit
the official Optima SCORE Desert Series website at:
www.score-international.com
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