Xiang, Wei and Otto, Colin W. and Wen, Peng (2008) Automated vehicle classification system using advanced noise reduction technology. In: 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007), 17-19 Dec 2007, Gold Coast, Australia.
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bstract]: The demand for non-invasive vehicle counting and classifying devices has grown significantly in past decades due to contributing factors from occupational health and safety standards developed by state road authorities. In this paper, we present an automated vehicle classification system based upon the laser sensor technology. The system is capable of classifying vehicles in multi-lane, high speed environments, and requires no apparatus be placed on the carriageway. As opposed to the conventional Fourier-based filtering method, this paper also proposes a novel wavelet-based noise reduction technique to enhance performance.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||No evidence of copyright restrictions on web site.|
|Uncontrolled Keywords:||automated vehicle classification; vehicle classification; vehicle counting; noise reduction technology|
|Fields of Research (FOR2008):||09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing|
|Subjects:||280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280204 Signal Processing|
|Socio-Economic Objective (SEO2008):||UNSPECIFIED|
|Deposited On:||22 Jan 2008 15:12|
|Last Modified:||10 Nov 2011 16:05|
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