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AMD Automotive Introduces XA AU10P and XA AU15P Cost-optimized Processors

Edge sensors, such as LiDAR, radar and 3D surround-view camera systems, are becoming more prevalent in the automotive market, especially with the growing adoption in autonomous driving. 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.

To address these market needs, we're introducing two additions to our AMD Automotive XA Artix UltraScale+ family: the XA AU10P and XA AU15P cost-optimized processors, which are automotive-qualified and optimized for use in advanced driver-assistance systems (ADAS) sensor 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.

AMD Adaptive Computing Technology Enables Next-Generation DENSO LiDAR System

AMD announced that its adaptive computing technology is powering leading mobility supplier DENSO Corporation's next-generation LiDAR platform. The new platform will enable over 20X1 improvement in resolution with extremely low latency for increased precision in detecting pedestrians, vehicles, free space and more. The DENSO LiDAR platform, targeted to begin shipping in 2025, will leverage the AMD Xilinx Automotive (XA) Zynq UltraScale+ adaptive SoC and its functional safety suite of developer tools to enable ISO 26262 ASIL-B certification.

DENSO is using the AMD XA Zynq UltraScale+ multi-processor system-on-a-chip (MPSoC) platform in its Single-Photon Avalanche Diode (SPAD) LiDAR system, which generates the highest point-cloud density level of any LiDAR system on the market today. Point-cloud density describes the number of points within a given area and is analogous to image resolution, where richer data ensures that crucial decision-making details are captured.
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