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

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Targeted at the $2.4B1 forward camera market, companies kick off new engagement focused on delivering an extensive solution to enable faster time to market for carmakers

www.businesswire.com, Aug. 31, 2021 – 

SAN JOSE, Calif. & SHANGHAI--(BUSINESS WIRE)--Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive computing, and Motovis, a provider of embedded AI autonomous driving, announced today that the two companies are collaborating on a solution that pairs the Xilinx Automotive (XA) Zynq® 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."

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