NVIDIA Introduces DRIVE Constellation Simulation System to Safely Drive Autonomous Vehicles Billions of Miles in Virtual Rea...
28 3월 2018 - 3:20AM
GPU Technology Conference — NVIDIA today
introduced a cloud-based system for testing autonomous vehicles
using photorealistic simulation – creating a safer, more scalable
method for bringing self-driving cars to the roads.
Speaking at the opening keynote of GTC 2018, NVIDIA founder and
CEO Jensen Huang announced NVIDIA DRIVE™ Constellation, a computing
platform based on two different servers.
The first server runs NVIDIA DRIVE Sim software to simulate a
self-driving vehicle’s sensors, such as cameras, lidar and radar.
The second contains a powerful NVIDIA DRIVE Pegasus™ AI car
computer that runs the complete autonomous vehicle software stack
and processes the simulated data as if it were coming from the
sensors of a car driving on the road.
“Deploying production self-driving cars requires a solution for
testing and validating on billions of driving miles to achieve the
safety and reliability needed for customers,” said Rob Csongor,
vice president and general manager of Automotive at NVIDIA. “With
DRIVE Constellation, we’ve accomplished that by combining our
expertise in visual computing and datacenters. With virtual
simulation, we can increase the robustness of our algorithms by
testing on billions of miles of custom scenarios and rare corner
cases, all in a fraction of the time and cost it would take to do
so on physical roads.”
The simulation server is powered by NVIDIA GPUs, each generating
a stream of simulated sensor data, which feed into the DRIVE
Pegasus for processing.
Driving commands from DRIVE Pegasus are fed back to the
simulator, completing the digital feedback loop. This
“hardware-in-the-loop” cycle, which occurs 30 times a second, is
used to validate that algorithms and software running on Pegasus
are operating the simulated vehicle correctly.
DRIVE Sim software generates photoreal data streams to create a
vast range of different testing environments. It can simulate
different weather such as rainstorms and snowstorms; blinding glare
at different times of the day, or limited vision at night; and all
different types of road surfaces and terrain. Dangerous situations
can be scripted in simulation to test the autonomous car’s ability
to react, without ever putting anyone in harm’s way.
“Autonomous vehicles need to be developed with a system that
covers training to testing to driving,” said Luca De Ambroggi,
research and analyst director at IHS Markit. “NVIDIA’s end-to-end
platform is the right approach. DRIVE Constellation for virtually
testing and validating will bring us a step closer to the
production of self-driving cars.”
DRIVE Constellation will be available to early access partners
in the third quarter of 2018.
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:Fazel AdabiPR
Manager, AutomotiveNVIDIA Corporation(408)
486-8701fadabi@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, performance,
uses and abilities of NVIDIA DRIVE Constellation, NVIDIA DRIVE Sim
software and NVIDIA DRIVE Pegasus AI; and the availability of
NVIDIA DRIVE Constellation 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- K for the fiscal period ended January 28,
2018. 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 NVIDIA DRIVE Pegasus are trademarks
and/or registered trademarks of NVIDIA Corporation in the U.S. and
other countries. 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.
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 6월(6) 2024 으로 7월(7) 2024
NVIDIA (NASDAQ:NVDA)
과거 데이터 주식 차트
부터 7월(7) 2023 으로 7월(7) 2024