NVIDIA Announces World’s First Functionally Safe AI Self-Driving Platform
January 10 2018 - 9:00AM
CES --
NVIDIA today unveiled
details of its functional safety architecture for NVIDIA DRIVE™,
its AI autonomous vehicle platform, which uses redundant and
diverse functions to enable vehicles to operate safely, even in the
event of faults related to the operator, environment or systems.
The NVIDIA DRIVE architecture enables automakers to build and
deploy self-driving cars and trucks that are functionally safe and
can be certified to international safety standards, such as ISO
26262.
“Safety is the most important feature of a self-driving car,”
said Jensen Huang, founder and chief executive officer of NVIDIA.
“It is imperative that it operate safely, even when things go
wrong. NVIDIA’s investment into this functional safety platform is
one of the most important ones we’ve ever made, and it provides a
critical ingredient for automakers to bring self-driving cars to
market.”
NVIDIA DRIVE provides a holistic safety platform that includes
process, technologies and simulation systems, as described
below:
- Process: Sets out the steps for establishing a pervasive safety
methodology for the design, management and documentation of the
self-driving system.
- Processor Design and Hardware Functionality: Incorporates a
diversity of processors to achieve fail operation capabilities.
These include NVIDIA-designed IP related to NVIDIA Xavier™ covering
CPU and GPU processors, deep learning accelerator, image processing
ISP, computer vision PVA, and video processors – all at the highest
quality and safety standards. Included are lockstep processing and
error-correcting code on memory and buses, with built-in testing
capabilities. The ASIL-C NVIDIA DRIVE Xavier processor and ASIL-D
rated safety microcontroller with appropriate safety logic can
achieve the highest system ASIL-D rating.
- Software: Integrates world-leading safety technology from key
partners. NVIDIA DRIVE OS system software integrates BlackBerry
QNX’s 64-bit real-time operating system, which is ASIL-D safety
certified, along with TTTech’s MotionWise safety application
framework, which encapsulates each application and isolates them
from each other, while providing real-time computing capability.
NVIDIA DRIVE OS offers full support of Adaptive AUTOSAR, the
open-standard automotive system architecture and application
framework. The NVIDIA toolchain, including the CUDA® compiler and
TensorRT™, uses ISO 26262 Tool Classification Levels to ensure a
safe and robust development environment.
- Algorithms: The NVIDIA DRIVE AV autonomous vehicle software
stack performs functions like ego-motion, perception, localization
and path planning. To realize fail operation capability, each
functionality includes a redundancy and diversity strategy. For
example, perception redundancy is achieved by fusing lidar, camera
and radar. Deep learning and computer vision algorithms running on
CPU, CUDA GPU, DLA and PVA enhance redundancy and diversity. The
NVIDIA DRIVE AV stack is a full backup system to the self-driving
stack developed by the automaker, enabling Level 5 autonomous
vehicles to achieve the highest level of functional safety.
- Virtual Reality Simulation: A self-driving car is an extremely
complex system with state-of-the-art technologies. Proving that the
system does what it is designed to do —captured by the term SoTIF,
or safety of the intended functionality — is a great challenge. And
it must do so in a wide range of situations and weather conditions.
Road testing is not sufficiently controllable, repeatable,
exhaustive or fast, so a realistic simulation environment is
essential. NVIDIA has created a virtual reality simulator, called
NVIDIA AutoSIM, to test the DRIVE platform and simulate against
rare conditions. Running on NVIDIA DGX™ supercomputers, NVIDIA
AutoSIM is repeatable for regression testing and will eventually
simulate billions of miles.
Industry Partner Support“The deep learning
capabilities that NVIDIA provides combined with BlackBerry QNX’s
safety- critical real-time operating system are exactly what
automakers want and need,” said John Chen, executive chairman and
CEO, BlackBerry. “Our partnership with NVIDIA will provide the
automotive industry with a functionally safe AI self-driving
platform that is secured to the highest standards.”
“We are excited to team up with NVIDIA, the leader in automotive
AI technologies, and to contribute our series-proven safety
software framework MotionWise for autonomous systems in close
partnership with our joint customers,” said Georg Kopetz, CEO of
TTTech. “This strategic world-class partnership will jointly bring
a complete solution fast to market, ready for the high safety and
security requirements for Level 2 to Level 5 – fully
fail-operational autonomous systems.”
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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/.
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, performance,
goals and abilities of NVIDIA DRIVE and its functional safety
architecture; NVIDIA’s investment to develop functional safety
rigor into the NVIDIA DRIVE platform and its impact and benefit on
the production of self-driving cars; and NVIDIA DRIVE’s
architecture integrating technology from BlackBerry and TTTech to
enable the development of self-driving vehicles and the benefits,
impact and abilities of such integration 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
reports NVIDIA files with the Securities and Exchange Commission,
or SEC, including its Form 10-Q for the fiscal period ended October
29, 2017. Copies of reports filed with the SEC are posted on the
company’s website and are available from NVIDIA without charge.
These forward-looking statements are not guarantees of future
performance and speak only as of the date hereof, and, except as
required by law, NVIDIA disclaims any obligation to update these
forward-looking statements to reflect future events or
circumstances.
© 2018 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, NVIDIA DRIVE and Xavier are trademarks and/or
registered trademarks of NVIDIA Corporation in the U.S. and other
countries. BlackBerry, QNX and related trademarks, names and logos
are the property of BlackBerry Limited and are registered and/or
used in the U.S. and countries around the world. Other company and
product names may be trademarks of the respective companies with
which they are associated. Features, pricing, availability and
specifications are subject to change without notice.
For further information, contact:Fazel AdabiPR
Manager, AutomotiveNVIDIA Corp.(408) 486-8701fadabi@nvidia.com
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