Xilinx & Motovis Launch Integrated Forward‑Camera Solution for Automotive Perception

As part of Xilinx’s commitment to delivering turnkey solutions that customers can customize for their specific needs, the company has teamed up with Motovis—an AI‑driven vision specialist—to provide a complete hardware‑and‑software platform for automotive forward‑camera systems.

The partnership marries Xilinx’s Automotive (XA) Zynq SoC family with Motovis’s convolutional neural network (CNN) IP, creating a plug‑and‑play stack that scales across the 28 nm and 16 nm XA Zynq SoCs. The result is a cost‑effective solution that balances performance and price while offering deep‑learning engines tailored to forward‑camera perception.

Built to handle image streams of up to eight megapixels, the stack enables OEMs and Tier‑1 suppliers to overlay their own feature algorithms atop Motovis’s perception core, giving designers the flexibility to differentiate and future‑proof their vehicles.

Forward‑camera modules are essential to advanced driver‑assistance systems, powering lane‑keeping assistance, automatic emergency braking, and adaptive cruise control. The solution meets the European New Car Assessment Program (NCAP) 2022 criteria by delivering low‑latency, high‑resolution image processing through CNNs, while remaining highly scalable.

Regulatory momentum—spurred by the European Commission’s General Safety Regulation, the U.S. National Highway Traffic Safety Administration, and NCAP—has pushed automakers to adopt LKA and AEB in new vehicles produced from 2020 to 2025 and beyond. This mandate has accelerated demand for reliable, compliant forward‑camera solutions.

“This collaboration is a significant milestone for the forward‑camera market, allowing OEMs to innovate faster,” said Ian Riches, vice‑president of Strategy Analytics’ global automotive practice. “With almost 20 % year‑on‑year volume growth expected from 2020 to 2025, Xilinx and Motovis are delivering a highly optimized hardware‑and‑software stack that will meet emerging standards and growing requirements.”

Willard Tu, senior director of automotive for Xilinx, added, “Expanding our XA portfolio with a comprehensive forward‑camera solution puts a cost‑optimized, high‑performance platform in the hands of our customers. Motovis’s deep‑learning expertise and Xilinx’s CNN‑specific engines give us a unique market position and accelerate our OEMs’ time to market.”

CEO of Motovis, Zhenghua Yu, said, “We’re thrilled to launch this partnership with Xilinx. The combination of Motovis’s customizable CNNs and the Xilinx Zynq platform’s CNN engines provides unmatched efficiency, enabling designers to add future features with ease and meet the stringent AEB and LKA requirements.”

Xilinx and Motovis will speak at the Xilinx Adapt 2021 virtual event on September 15, 2021, which will feature over 100 sessions, forums, product trainings and labs from Xilinx, its partners and customers.