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iVeia’s CTO Mike Fawcett explains why the Zynq UltraScale+ MPSoC makes such a great autonomous driving platform

Xilinx Employee
Xilinx Employee
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Last month, I wrote about Perrone Robotic’s Autonomous Driving Platform based on the Zynq UltraScale+ MPSoC. (See “Linc the autonomous Lincoln MKZ running Perrone Robotics' MAX AI takes a drive in Detroit without puny humans’ help” and “Perrone Robotics builds [Self-Driving] Hot Rod Lincoln with its MAX platform, on a Zynq UltraScale+ MPSoC.”) That platform runs on a controller box supplied by iVeia. In the 2-minute video below, iVeia’s CTO Mike Fawcett describes the attributes of the Zynq UltraScale+ MPSoC that make it a superior implementation technology for autonomous driving platforms. The Zynq UltraScale+ MPSoC’s immense, heterogeneous computing power supplied by six ARM processors plus programmable logic and a few more programmable resources flexibly delivers the monumental amount of processing required for vehicular sensor fusion and real-time perception processing while consuming far less power and generating far less heat than competing solutions involving CPUs or GPUs.

 

Here’s the video: