NVIDIA and Toyota Research Institute-Advanced Development Partner to Create Safer Autonomous Transportation
March 18 2019 - 7:43PM
GPU Technology Conference -- Toyota Research
Institute-Advanced Development (TRI-AD) and NVIDIA today announced
a new collaboration to develop, train and validate self-driving
vehicles.
The partnership builds on an ongoing relationship with Toyota to
utilize the NVIDIA DRIVE AGX Xavier™ AV computer and is based on
close development between teams from NVIDIA, TRI-AD in Japan and
Toyota Research Institute (TRI) in the United States. The broad
partnership includes advancements in:
- AI computing infrastructure using NVIDIA GPUs
- Simulation using the NVIDIA DRIVE Constellation™ platform
- In-car AV computers based on DRIVE AGX Xavier or DRIVE AGX
Pegasus™
The agreement includes the development of an architecture that
can be scaled across many vehicle models and types, accelerating
the development and production timeline, and simulating the
equivalent of billions of miles of driving in challenging
scenarios.
“Our vision is to enable self-driving vehicles with the ultimate
goal of reducing fatalities to zero, enabling smoother
transportation, and providing mobility for all,” said Dr. James
Kuffner, CEO of TRI-AD. “Our technology collaboration with NVIDIA
is important to realizing this vision. We believe large-scale
simulation tools for software validation and testing are critical
for automated driving systems.”
NVIDIA founder and CEO Jensen Huang added, “Self-driving
vehicles for everyday use and commercial applications in countless
industries will soon be commonplace. Everything that moves will be
autonomous. Producing all these vehicles at scale will require a
connected collaboration for all elements of the system. Our
relationship with TRI-AD and TRI is a model for that
collaboration.”
AI, and specifically deep learning, has become a vital tool for
the production of next-generation automated vehicles, particularly
because of the need to recognize and handle the nearly infinite
number of scenarios encountered on the road.
Simulation has proven to be a valuable tool for testing and
validating AV hardware and software before it is put on the road.
As part of the collaboration, TRI-AD and TRI are utilizing the
NVIDIA DRIVE Constellation platform for components of their
simulation workflow.
DRIVE Constellation is a data center solution, comprising two
side-by-side servers. The first server — Constellation Simulator —
uses NVIDIA GPUs running DRIVE Sim™ software to generate the sensor
output from a virtual car driving in a realistic virtual world. The
second server — Constellation Vehicle — contains the DRIVE AGX car
computer, which processes the simulated sensor data. The driving
decisions from Constellation Vehicle are fed back into
Constellation Simulator, aiming to realize bit-accurate,
timing-accurate hardware-in-the-loop testing.
This end-to-end simulation toolchain will help enable Toyota,
TRI-AD and TRI to bring automated vehicles to market.
About TRI-ADToyota Research Institute-Advanced
Development, Inc. focuses on the advanced development of software
for automated driving efforts. Its mission is to build the world’s
safest automated driving car, as well as strengthening coordination
with Toyota Research Institute (TRI) and the research and advanced
development teams within the Toyota Group. Activities include
developing automated driving software, leveraging data-handling
capabilities and creating a straight line from research to
commercialization. See more at www.tri-ad.global.
About TRIToyota Research Institute is a wholly
owned subsidiary of Toyota Motor North America under the direction
of Dr. Gill Pratt. The company, established in 2016, aims to
strengthen Toyota’s research structure and has four initial
mandates: 1) enhance the safety of automobiles, 2) increase access
to cars to those who otherwise cannot drive, 3) translate Toyota’s
expertise in creating products for outdoor mobility into products
for indoor mobility, and 4) accelerate scientific discovery by
applying techniques from artificial intelligence and machine
learning. TRI is based in the United States, with offices in Los
Altos, Calif., Cambridge, Mass., and Ann Arbor, Mich. For more
information about TRI, see www.tri.global.
About NVIDIA NVIDIA‘s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Marie Labrie
PR Manager, Automotive NVIDIA Corporation +1-408-921-6987
mlabrie@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits and impact of NVIDIA,
Toyota, Toyota Research Institute-Advanced Development and Toyota
Research Institute’s partnership and its acceleration of the use of
autonomous vehicles and AI technologies; the goals and advancements
of the partnership between NVIDIA, Toyota, Toyota Research
Institute-Advanced Development and Toyota Research Institute;
enabling self-driving vehicles, reducing fatalities, enabling
smoother transportation and providing mobility; large-scale
simulation tools being critical for automated driving systems;
self-driving vehicles soon being common place; everything that
moves being autonomous; producing autonomous vehicles requiring a
connected collaboration for all elements of the system; AI becoming
a vital tool for the production of automated vehicles; TRI-AD and
TRI utilizing NVIDIA DRIVE Constellation; the benefits, abilities
and performance of NVIDIA DRIVE Constellation; and NVIDIA’s
end-to-end toolchain enabling automated vehicles to come to market
are forward-looking statements that are subject to risks and
uncertainties that could cause results to be materially different
than expectations. Important factors that could cause actual
results to differ materially include: global economic conditions;
our reliance on third parties to manufacture, assemble, package and
test our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners’ products; design,
manufacturing or software defects; changes in consumer preferences
or demands; changes in industry standards and interfaces;
unexpected loss of performance of our products or technologies when
integrated into systems; as well as other factors detailed from
time to time in the most recent reports NVIDIA files with the
Securities and Exchange Commission, or SEC, including, but not
limited to, its annual report on Form 10-K and quarterly reports on
Form 10-Q. Copies of reports filed with the SEC are posted on the
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© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, DRIVE Constellation, DRIVE AGX Xavier, DRIVE AGX
Pegasus, DRIVE AV, DRIVE IX and DRIVE Sim are trademarks and/or
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