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Jensen Huang, CEO and founder of NVIDIA, introduces the simulation platform during his keynote at GTC. In the background are some of the drive scenarios that could be tested. |
The NVIDIA DRIVE Constellation autonomous vehicle simulation platform is now available.
The cloud-based platform enables
millions of miles to be driven virtually across a range of scenarios
— from routine driving to rare and dangerous situations — with
more efficiency, cost-effectiveness and safety than possible in the
real world. This large-scale validation capability is comparable to
operating an entire fleet of test vehicles, but one that is able to
accomplish years of testing in a fraction of the time.
First introduced at GTC last year,
DRIVE Constellation is a data centre solution comprised of two
side-by-side servers. One server —
DRIVE Constellation Simulator — uses NVIDIA GPUs running
DRIVE Sim software to generate the
sensor output from the virtual car driving in a virtual
world. The other server — DRIVE
Constellation Vehicle — contains the DRIVE AGX Pegasus AI
car computer, which processes the
simulated sensor data.
The driving decisions from DRIVE
Constellation Vehicle are fed back into DRIVE Constellation
Simulator, enabling bit-accurate,
timing-accurate hardware-in-the-loop testing.
NVIDIA predicts that simulation will
become a key component for third-party and regulatory autonomous
vehicle standards. Safety agencies such as TÜV SÜD are already
using the platform to formulate their self-driving validation
standards, it said.
“TÜV SÜD is looking for simulation
tools that are trustworthy, robust and scalable for the
approval of autonomous vehicles,”
said Houssem Abdellatif, global head of Autonomous Driving
and ADAS at TÜV SÜD. “NVIDIA DRIVE
Constellation provides a powerful and highly scalable
solution to achieve this goal.”
NVIDIA separately announced that Toyota
Research Institute-Advanced Development (TRI-AD) is the first
customer of DRIVE Constellation. “We believe large-scale simulation
tools for software
validation and testing are critical for
automated driving systems,” said Dr James Kuffner, CEO of
TRI-AD.
On stage at GTC, NVIDIA founder and CEO
Jensen Huang demonstrated the DRIVE Constellation platform seamlessly
performing driving tests in the cloud. Developers anywhere in the
world can submit simulation scenarios to DRIVE Constellation data
centres and evaluate the results from their desks.
DRIVE Constellation is an open platform
into which ecosystem partners can integrate their
environment models, vehicle models,
sensor models and traffic scenarios. By incorporating
datasets from the broader simulation
ecosystem, the platform can generate comprehensive,
diverse and complex testing
environments.
To this end, Cognata, a simulation
company, announced today that its scenario and traffic model
can be supported on DRIVE
Constellation. With Cognata’s traffic models, developers can define
a number of vehicles and other road
users as well as their behaviour, based on real-world traffic
behaviour.
“Cognata and NVIDIA are creating a
robust solution that will efficiently and safely accelerate
autonomous vehicles’ market entry,”
said Danny Atsmon, CEO of Cognata. “Highly accurate and
scalable traffic model simulation
technology is essential to validate autonomous vehicle systems
with very large combinations of
real-world scenarios.”
IPG Automotive, an automotive
simulation company, is another ecosystem partner working with NVIDIA to enable a
high-fidelity vehicle models. Its simulation software, CarMaker, is used to create virtual vehicle
prototypes, including models of all main vehicle subsystems. Developers can include test vehicle
responses to changes in steering, road surface, suspension, powertrain and vehicle control systems.
“Together with the support of our
ecosystem partners, we’re making available large-scale,
cloud-based, open simulation that
thoroughly and safely validates self-driving cars under
endless challenging situations,” said
Zvi Greenstein, GM at NVIDIA.
Hashtag: #GTC19
*NVIDIA sponsored transport and accommodation for GTC.
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