Xilinx and Motovis Introduce Complete Hardware & Software Solution to Further Automotive Forward Camera Innovation

Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive computing, and Motovis,
a provider of embedded AI autonomous driving, announced that the two
companies are collaborating on a solution that pairs the Xilinx Automotive
(XA) ZynqR system-on-chip (SoC) platform and Motovis’ convolutional neural
network (CNN) IP to the automotive market, specifically for forward camera
systems’ vehicle perception and control. The solution builds upon Xilinx’s
corporate initiative to provide customers with robust platforms to enhance
and speed development.

Forward camera systems are a critical element of advanced driver-assistance
systems because they provide the advanced sensing capabilities required for
safety-critical functions, including lane-keeping assistance (LKA),
automatic emergency braking (AEB), and adaptive cruise control (ACC). The
solution, which is available now, supports a range of parameters necessary
for the European New Car Assessment Program (NCAP) 2022 requirements by
utilizing convolutional neural networks to achieve a cost-effective
combination of low-latency image processing, flexibility and scalability.

“This collaboration is a significant milestone for the forward camera market
as it will allow automotive OEMs to innovate faster,” said Ian Riches, vice
president for the Global Automotive Practice at Strategy Analytics. “The
forward camera market has tremendous growth opportunity, where we anticipate
almost 20 percent year-on-year volume growth over 2020 to 2025. Together,
Xilinx and Motovis are delivering a highly optimized hardware and software
solution that will greatly serve the needs of automotive OEMs, especially as
new standards emerge and requirements continue to grow.”

The forward camera solution scales across the 28nm and 16nm XA Zynq SoC
families using Motovis’ CNN IP, a unique combination of optimized hardware
and software partitioning capabilities with customizable CNN-specific
engines that host Motovis’ deep learning networks – resulting in a
cost-effective offering at different performance levels and price points.
The solution supports image resolutions up to eight megapixels. For the
first time, OEMs and Tier-1 suppliers can now layer their own feature
algorithms on top of Motovis’ perception stack to differentiate and
future-proof their designs.

“We are extremely pleased to unveil this new initiative with Xilinx and to
bring to market our CNN forward camera solution. Customers designing systems
enabled with AEB and LKA functionality need efficient neural network
processing within an SoC that gives them flexibility to implement future
features easily,” said Dr. Zhenghua Yu, CEO, Motovis. “With Motovis’
customizable deep learning networks and the Xilinx Zynq platform’s ability
to host CNN-specific engines that provide unmatched efficiency and
optimization, we’re helping to future-proof the design to meet customer
needs.”

Market forces continue to drive adoption of forward camera systems to adhere
to global government mandates and consumer watch groups including The
European Commission General Safety Regulation, the National Highway Traffic
Safety Administration and the NCAP. All three have issued formal mandates or
strong guidance regarding automakers’ implementations of LKA and AEB in new
vehicles produced between 2020-2025 and onward.

“Expanding our XA offering with a comprehensive solution for the forward
camera market puts a cost-optimized, high-performance solution in the hands
of our customers. We’re thrilled to bring this to life and drive the
industry forward,” said Willard Tu, senior director of Automotive, Xilinx.
“Motovis’ expertise in embedded deep learning and how they’ve optimized
neural networks to handle the immense challenges of forward camera
perception puts us both in a unique position to gain market share, all while
accelerating our OEM customers’ time to market.”

Xilinx and Motovis will be speaking at the Xilinx Adapt 2021 virtual event
on September 15, 2021. Adapt 2021 will feature executive keynotes with
appearances from partners and customers, along with a series of more than
100 presentations, forums, product trainings and labs designed to help users
unlock the value of adaptive computing.

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About Xilinx
Xilinx, Inc. develops highly flexible and adaptive processing platforms that
enable rapid innovation across a variety of technologies – from the cloud,
to the edge, to the endpoint. Xilinx is the inventor of the FPGA and
adaptive SoCs (including our adaptive compute acceleration platform, or
ACAP), designed to deliver the most dynamic computing technology in the
industry. We collaborate with our customers to create scalable,
differentiated, and intelligent solutions that enable the adaptable,
intelligent, and connected world of the future. For more information, visit
xilinx.com.

About Motovis
Motovis is an innovative technology company that develops advanced AI
technology embedded on automotive chips to provide autonomous driving
products and solutions. Motovis has successfully deployed full-stack
autonomous driving software and hardware systems, including parking &
cruising, front view & surround view applications, based on accurate
environmental perception, sensor fusion, localization, path planning and
vehicle control algorithms. Motovis’ products have been widely adopted by
major OEMs and Tier1s for both passenger and commercial vehicles in mass
production.