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Perrone Robotics “MAX” Software Platform for Autonomous Vehicles: Powered by Xilinx

The MAX autonomous vehicle software platform enables rapid development through easy integration of sensors and control logic for self-driving operation. Zynq MPSoCs provide accelerated processing of data from LIDAR, GPS, Cameras, and others for a highly differentiated solution that is safe, scalable and real-time responsive.

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iVeia Drive Platform: Powered by Xilinx – Demo Shorts

iVEia introduces their Drive Platform for autonomous vehicles, developed with Perrone Robotics and Xilinx. Compared to power-hungry standard computing architectures, Xilinx MPSoC heterogenous computing enables smaller form factors, lower power, and scalability to adapt to new algorithms as they evolve in autonomous vehicles.

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From Autonomous Cars to Cyber Security and Accelerated Computing: Powered by Xilinx

Xilinx customers are innovating across a wide variety of applications through increasing leverage of machine learning.

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NGCodec Video Encoding in the Cloud with Amazon EC2 F1 Instances: Powered by Xilinx

NGCodec’s video encoding solution on AWS F1 Instances provides access to high quality video with low latency and low cost to more customers through the cloud. Leveraging Xilinx technology on the F1 Instance enables NGCodec to differentiate consumer experiences, reduce cost by 10x, decrease power compared to CPU-based solutions.

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Embedded World 2017: Autonomous Perception Demo Using Deep Learning, Dense Optical Flow and Stereo Vision - Presented by Xilinx

This autonomous drive demonstration runs the three major complex algorithms commonly used in autonomous systems today, Convolutional Neural Network (CNN), Dense Optical Flow and Stereo Vision, all in a single Zynq Ultrascale+ MPSoC device. The entire design was developed using the new Xilinx reVISION stack allowing developers to directly take Caffe trained network and OpenCV functions and integrate with sensors / displays using only C/C++.

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