Xilinx to demonstrate solutions for ADAS and automated driving

12 January, 2017

Xilinx, Inc. is to demonstrate solutions for ADAS and automated driving at CAR-ELE Japan. Demonstrations will including machine learning, computer vision and sensor fusion on Xilinx’s Zynq SoC and Zynq UltraScale MPSoC devices.  xilinx-t'wire

Deep Learning Using Convolutional Neural Networks (CNN) on Zynq UltraScale+ MPSoC 
Demonstration showcases the use of the automotive industry’s first 16nm Zynq UltraScale+ MPSoC as an embedded computing platform for pedestrian detection using deep learning. Convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network in which the connectivity pattern between its neurons is inspired by the organization of the animal visual cortex

Camera based Driver Monitoring System – Presented by Fovio
Real-time machine learning-based demonstration for head and eyelid tracking, combined with precision gaze direction measurement that allows reliable driver attention and driver state detection under a wide range of challenging real-world conditions.

Multi-Camera System using Ethernet Audio/Video Bridging – Presented by Regulus, NEC Communication Systems, Ltd. and Linear Technology

Sensor fusion demonstration implementing Ethernet-AVB in an automotive camera system. Using various camera modules based on the Zynq-7000 All Programmable SoC for image signal processing, object detection and distortion correction.

Advanced Camera/Display-based E-Mirror System – Presented by Toyota Tsusho Electronics Corporation
Demonstration of an e-mirror system based on the Zynq-7000 All Programmable SoC shows an innovative way to replace conventional rear-view mirrors in cars or other vehicles. The system displays how multiple camera inputs are combined with a set of displays

High-end Surround View System
Sensor fusion demonstration of an advanced surround view virtual flying camera system enabling drivers to smoothly transition perspective of a three-dimensional view of the vehicle.

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