Automated vehicle classification system using advanced noise reduction technology
Paper
Paper/Presentation Title | Automated vehicle classification system using advanced noise reduction technology |
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Presentation Type | Paper |
Authors | Xiang, Wei (Author), Otto, Colin (Author) and Wen, Peng (Author) |
Editors | Wysocki, Beata J. and Wysocki, Tadeusz A. |
Journal or Proceedings Title | Proceedings of the 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007) |
ERA Conference ID | 50821 |
Number of Pages | 5 |
Year | 2008 |
Place of Publication | Wollongong, Australia |
ISBN | 9780975693445 |
9780975693438 | |
Web Address (URL) of Paper | http://www.dspcs-witsp.com/icspcs_2007/cfp.html |
Conference/Event | 2007 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007) |
International Conference on Signal Processing and Communication Systems | |
Event Details | 2007 1st International Conference on Signal Processing and Communication Systems (ICSPCS 2007) Parent International Conference on Signal Processing and Communication Systems Delivery In person Event Date 17 to end of 19 Dec 2007 Event Location Gold Coast, Australia |
Event Details | International Conference on Signal Processing and Communication Systems ICSPCS |
Abstract | 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. |
Keywords | automated vehicle classification; vehicle classification; vehicle counting; noise reduction technology |
ANZSRC Field of Research 2020 | 400607. Signal processing |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
510202. Lasers and quantum electronics | |
Public Notes | © 2008 DSP for Communication Systems. This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. |
Byline Affiliations | Department of Electrical, Electronic and Computer Engineering |
Department of Main Roads, Queensland |
https://research.usq.edu.au/item/9y8qy/automated-vehicle-classification-system-using-advanced-noise-reduction-technology
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