Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology

Xiang, Wei and Otto, Colin W. and Wen, Peng (2009) Automated vehicle classification system for AUSTROADS standard based upon laser sensor technology. Australian Journal of Electrical and Electronics Engineering, 5 (2). pp. 95-106. ISSN 1448-837X

Abstract

Traffic surveying systems using pneumatic road sensors are currently widely used in Australia for counting and classifying vehicles. However, these intrusive sensors disrupt traffic and expose technicians to significant road dangers. We propose a non-intrusive automated vehicle classification system for the AUSTROADS classification standard based upon the laser sensor technology. The proposed system is capable of classifying vehicles in multi-lane, high speed environments. Conventional Fourier-based denoising techniques are, however, unable to meet the design challenge due to a considerable amount of noise presented in measurement data that is induced by both the laser sensing device and high volume traffic in carriageways. This paper proposes an advanced wavelet-based denoising technique to greatly enhance the noise reduction performance of the proposed automated vehicle classification system.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to paper due to publisher copyright restrictions.
Depositing User: Dr Wei Xiang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 09 Dec 2009 23:32
Last Modified: 11 Jul 2014 06:53
Uncontrolled Keywords: automated vehicle classification system; non-intrusive; laser sensor technology; wavelet de-noising
Fields of Research (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
01 Mathematical Sciences > 0101 Pure Mathematics > 010106 Lie Groups, Harmonic and Fourier Analysis
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/6315

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