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Title:

VISION-BASED STOP SIGN DETECTION AND RECOGNITION SYSTEM FOR INTELLIGENT VEHICLES

Accession Number:

00819935

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309072077

Abstract:

The traffic sign detection and recognition system is an essential module of the driver warning and assistance system. A vision-based stop sign detection and recognition system is presented here. This system has two main modules: detection and recognition. In the detection module, the color thresholding in hue, saturation, and value color space is used to segment the image. The features of the traffic sign are investigated and used to detect potential objects. For the recognition module, one neural network is trained to perform the classification and another one is trained to perform the validation. Joint use of classification and validation networks can reduce the rate of false positives. The reliability demonstrated by the proposed algorithm suggests that this system could be a part of an integrated driver warning and assistance system based on computer vision technologies.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1748, Advanced Traffic Management Systems and Vehicle-Highway Automation 2001.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Liu, H X
Ran, Bin

Pagination:

p. 161-166

Publication Date:

2001

Serial:

Transportation Research Record

Issue Number: 1748
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309072077

Features:

Figures (7) ; References (11)

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Nov 5 2001 12:00AM

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