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Title:

EXPERIMENTING WITH RECOGNITION ACCELERATOR FOR PAVEMENT DISTRESS IDENTIFICATION

Accession Number:

00728498

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309059089

Abstract:

A study was conducted using a computer board embedded with an artificial neural network (ANN) microchip for pattern recognition of pavement distress classification. The basic principles behind ANNs and pattern recognition are discussed. The hardware architecture of the Ni1000 recognition accelerator chip, which is the core of the ANN computer board, is presented, and the principle of operation of the restricted coulomb energy algorithm used in the chip is discussed. It is demonstrated that the Ni1000 recognition accelerator chip can be used for pattern recognition of pavement distress. Distresses in pavement images have been successfully classified using the Ni1000 recognition accelerator. The Ni1000 has the potential to be used as the core processing unit for distress classification at highway speeds.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1536, Traffic and Pavement Surface Monitoring Issues.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Nallamothu, S
Wang, KCP

Pagination:

p. 130-135

Publication Date:

1996

Serial:

Transportation Research Record

Issue Number: 1536
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309059089

Features:

Figures (7) ; References (12) ; Tables (3)

Uncontrolled Terms:

Subject Areas:

Highways; Pavements; I23: Properties of Road Surfaces

Files:

TRIS, TRB

Created Date:

Nov 26 1996 12:00AM

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