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Proceedings Paper

Intelligent automobile machine vision with smart pixels
Author(s): T.C. Bobby Yu
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Paper Abstract

Automobile machine vision is a potential application for hardware neural networks. This paper suggests a future system concept which combines front-end low-level processing in smart pixels and a massively interconnected optical neural network. Two smart pixels devices fabricated in Ferroelectric Liquid Crystal on Silicon technology will be described. The first device implements an array of somas, while the second device implements an array of synapses. These are effectively generic building blocks for scalable neural network architectures. Experiments have demonstrated actions of optoelectronic neurons formed by the smart pixels. An optical neural network system has been investigated in a simulation of an autoassociative memory for road sign recognition.

Paper Details

Date Published: 17 February 1997
PDF: 12 pages
Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); doi: 10.1117/12.267160
Show Author Affiliations
T.C. Bobby Yu, Univ. of Reading (United Kingdom)

Published in SPIE Proceedings Vol. 2902:
Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS
Alan C. Chachich; Marten J. de Vries, Editor(s)

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