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AMD Launches Automotive-Grade Product Family Supporting Automotive Edge Sensors
Acquired up to ASIL-B level functional safety certification
Automotive Expands FPGA and Adaptive SoC Portfolio
AMD has launched a product that satisfies the requirements for functional safety, a key requirement, along with rapid signal processing, reduced equipment costs, and miniaturization resulting from the increasing number of sensors installed for autonomous driving functions.
AMD announced on the 25th that it has added two new cost-effective processors, the XA AU10P and XA AU15P, to its AMD Automotive XA Artix™ UltraScale+™ family to address the requirements of the autonomous driving market.
With the increase in autonomous driving-related functions in automobiles, the installation of edge sensors such as LiDAR, radar, and 3D surround view camera systems is becoming more common in the automotive market.
All new products have received automotive-grade quality certification and are optimized for use in ADAS sensor applications.
Artix UltraScale+ devices further expand AMD's automotive FPGA and adaptive SoC portfolio, featuring proven functional safety and exceptional scalability, alongside the automotive Spartan™ 7, Zynq™ 7000, and Zynq UltraScale+ families.
The XA Artix UltraScale+ processor in the camera It has obtained functional safety certification up to the ASIL-B level, a key requirement for automotive ADAS sensors ranging from LiDAR, and supports AMD customers, such as vehicle manufacturers, robotaxi developers, and leading suppliers, in accelerating autonomous vehicle development.
LiDAR vendors and customers that have adopted AMD's XA Artix UltraScale+ devices for autonomous driving applications are already designing next-generation ADAS edge systems based on the new devices.
Companies can utilize these devices in sensor integration applications to collect data from multi-edge sensors and perform image and video processing before porting to an external SoC.
In addition, the new XA Artix UltraScale+ device can be connected to multiple displays in the vehicle to enhance infotainment capabilities.
The new cost-effective XA Artix FPGA is currently shipping and provides high serial bandwidth and signal computing density based on an ultra-small form factor.
Artix UltraScale+ devices can maximize system performance through DSP bandwidth in cost-sensitive, low-power ADAS edge applications, such as networking, vision and video processing, and secure connectivity.
“As the importance of safety increases, automotive OEMs and leading suppliers are requiring ASIL-B certification for LiDAR, radar, and smart edge sensor applications,” said Ian Riches, Vice President of Global Automotive at TechInsights. “AMD is demonstrating the results of its continued investment and efforts in the latest functional safety solutions by launching new devices and strengthening its services to the automotive market.”
AMD announced on the 25th that it has added two new cost-effective processors, the XA AU10P and XA AU15P, to its AMD Automotive XA Artix™ UltraScale+™ family to address the requirements of the autonomous driving market.
With the increase in autonomous driving-related functions in automobiles, the installation of edge sensors such as LiDAR, radar, and 3D surround view camera systems is becoming more common in the automotive market.
All new products have received automotive-grade quality certification and are optimized for use in ADAS sensor applications.
Artix UltraScale+ devices further expand AMD's automotive FPGA and adaptive SoC portfolio, featuring proven functional safety and exceptional scalability, alongside the automotive Spartan™ 7, Zynq™ 7000, and Zynq UltraScale+ families.
The XA Artix UltraScale+ processor in the camera It has obtained functional safety certification up to the ASIL-B level, a key requirement for automotive ADAS sensors ranging from LiDAR, and supports AMD customers, such as vehicle manufacturers, robotaxi developers, and leading suppliers, in accelerating autonomous vehicle development.
LiDAR vendors and customers that have adopted AMD's XA Artix UltraScale+ devices for autonomous driving applications are already designing next-generation ADAS edge systems based on the new devices.
Companies can utilize these devices in sensor integration applications to collect data from multi-edge sensors and perform image and video processing before porting to an external SoC.
In addition, the new XA Artix UltraScale+ device can be connected to multiple displays in the vehicle to enhance infotainment capabilities.
The new cost-effective XA Artix FPGA is currently shipping and provides high serial bandwidth and signal computing density based on an ultra-small form factor.
Artix UltraScale+ devices can maximize system performance through DSP bandwidth in cost-sensitive, low-power ADAS edge applications, such as networking, vision and video processing, and secure connectivity.
“As the importance of safety increases, automotive OEMs and leading suppliers are requiring ASIL-B certification for LiDAR, radar, and smart edge sensor applications,” said Ian Riches, Vice President of Global Automotive at TechInsights. “AMD is demonstrating the results of its continued investment and efforts in the latest functional safety solutions by launching new devices and strengthening its services to the automotive market.”
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