The XA AU10P and XA AU15P are processors, which are automotive-qualified and optimised for use in advanced driver-assistance systems (ADAS) sensor applications. As more sensors are needed for autonomy, there are increasing needs for faster signal processing, reduced device costs and smaller form factors. Functional safety is also critical for many of these autonomous applications.
The Artix UltraScale+ devices extend the AMD portfolio of automotive-grade, functional-safety proven and highly scalable FPGA and adaptive SoCs, joining the automotive-grade Spartan 7, Zynq 7000 and Zynq UltraScale+ product families.
These processors are certified for functional safety up to ASIL-B, which is critical for automotive ADAS sensors from cameras to LiDARs, and will enable customers to accelerate development of autonomous vehicles.
“As automotive systems have grown in complexity, safety is more critical than ever before with automotive OEMs and Tier 1 suppliers requiring ASIL-B certification for LiDAR, radar and smart edge sensor applications,” said Ian Riches, vice president, global automotive practice, TechInsights. “Through the release of the new XA Artix UltraScale+ devices, AMD is demonstrating its continued commitment and investment in the latest functional safety solutions to serve the automotive market.”
Customers are already designing next-gen ADAS edge systems based on the new devices, including a LiDAR company, which will deploy XA Artix UltraScale+ devices for autonomous applications.
Automotive designers can use these devices for sensor fusion, bringing in data from multiple edge sensors and performing image and video processing before porting it to an external SoC. Additionally, the new XA Artix UltraScale+ devices can be connected to multiple displays in the vehicle to enhance infotainment features.
Shipping now, these XA Artix FPGAs offer high serial bandwidth and signal compute density in an ultra-compact form factor.
Artix UltraScale+ devices maximize system performance via DSP bandwidth for cost-sensitive and low-power ADAS edge applications including networking, vision and video processing and secure connectivity.
