Real-time road sign recognition

Journal Publication ResearchOnline@JCU
Nguwi, Yok-Yen;Teoh, Teik-Toe;Song, Insu;Cho, Siu-Yeung
Insu Song
Abstract

An automatic road sign recognition system locates road sign of interest within images captured by an imaging sensor on-board of a vehicle, and then identifies road signs assisting the driver of the vehicle to properly operate the vehicle. This paper presents a real-time road sign recognition system that can be used to improve road safety. The developed system is capable of analysing live road scene images, detecting multiple road signs within each image, and classifying the type of road signs detected. The experimental results demonstrate that the system is capable of achieving an average recognition hit-rate of 95%. This work is targeted towards the development of an efficient and intelligent road sign recognition system. The system is capable of locating the road sign region using derivative-based filtering, and classifying road sign through the use of support vector machine classifier.

Journal

Australian journal of intelligent information processing systems

Publication Name

Australian journal of intelligent information processing systems

Volume

12

ISBN/ISSN

1321-2133

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Issue

4

Pages Count

5

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Publisher

Australian National University

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