NVIDIA's Deep Learning Car Computer Selected by Volvo on Journey Toward a Crash-Free Future
NVIDIA DRIVE PX 2, First Car Computer with Artificial Intelligence and Supercomputing Capabilities, to Power Autonomous Volvos in Public Trial
Public Relations
Jen Andersson
PR Manager Northern Europe
NVIDIA
jandersson@nvidia.com
LAS VEGAS-CES-Jan. 4, 2016-Volvo Cars will use the NVIDIA DRIVE PX 2 deep learning- based computing engine to power a fleet of 100 Volvo XC90 SUVs starting to hit the road next year in the Swedish carmaker's Drive Me autonomous-car pilot program, NVIDIA announced today.
Autonomous technology is an important contributor to Volvo's Vision 2020 - its guiding principles for creating safer vehicles. This work has resulted in world-leading advancements in autonomous and semi-autonomous driving, and a new safety benchmark for the automotive industry.
Our vision is that no one should be killed or seriously injured in a new Volvo by the year 2020, said Marcus Rothoff, director of the Autonomous Driving Program at Volvo Cars. NVIDIA's high-performance and responsive automotive platform is an important step towards our vision and perfect for our autonomous drive program and the Drive Me project.
Volvo's Drive Me autonomous pilot program will equip the luxury cars with the NVIDIA DRIVE PX 2 engine, which uses deep learning to navigate the complexities of driving. The cars will operate autonomously on roads around Gothenburg, the carmaker's hometown, and semi-autonomously elsewhere.
Volvo's Drive Me project is the ideal application of our DRIVE PX 2 engine and deep learning, said Rob Csongor, vice president and general manager of Automotive at NVIDIA. We are bringing years of work by thousands of NVIDIA engineers to help Volvo achieve its safety goals and move self-driving cars from Gothenburg to the rest of the globe.
Recognizing Objects Beyond Reach of Human Algorithms
The NVIDIA DRIVE PX 2 engine enables cars to utilize deep learning - a form of artificial intelligence - to recognize objects in their environment, anticipate potential threats and navigate safely. With 8 teraflops of processing power - equivalent to 150 MacBook Pros - it processes data from multiple sensors in real time, providing 360-degree detection of lanes, vehicles, pedestrians, signs and more, to enable a variety of autopilot functions.
Recent deep-learning breakthroughs have greatly enhanced computers' ability to perceive the outside world. Using vast amounts of data and processing power, they can write software to recognize complex objects at a level beyond the reach of human-coded algorithms.
Much deep learning work is powered by NVIDIA's supercomputing GPUs. For example, Microsoft and Google have used GPUs to create image-recognition systems that beat a well-trained human in the ImageNet Large Scale Visual Recognition Challenge. And Microsoft researchers recently trained a deep neural net that beat a human in IQ tests.
Map Localization and Path Planning
For map localization and path planning, the system can compare real-time situational awareness with a known high-definition map, enabling it to plan a safe route and drive precisely along it, adjusting to ever-changing circumstances. DRIVE PX 2 will also perform other critical functions such as stitching camera inputs to create a complete surround-view of the car.
Because self-driving cars require massive computing resources to interpret the data from multiple sensors, most early prototypes have contained a trunk full of computers. In contrast, DRIVE PX 2, which carries out the same functions, is the size of a tablet.
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About NVIDIA
Since 1993, NVIDIA (NASDAQ: NVDA) has pioneered the art and science of visual computing. The companys technologies are transforming a world of displays into a world of interactive discovery - for everyone from gamers to scientists, and consumers to enterprise customers. More information at http://www.nvidia.co.uk/page/press_room.html and http://blogs.nvidia.com.
# # #
Certain statements in this press release including, but not limited to, statements as to: Volvos use of NVIDIA DRIVE PX 2; the features and benefits of Volvos Drive Me program; and the impact and benefit of NVIDIA DRIVE PX 2 and deep-learning breakthroughs 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 25, 2015. Copies of reports filed with the SEC are posted on the companys 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.
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2016 NVIDIA Co
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NVIDIA's Deep Learning Car Computer Selected by Volvo on Journey Toward a Crash-Free Future
