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Application of discrete wavelet transform to measurement of traffic using road environmental sound from microphone on vehicle

It is important for progress of ITS technology to develop the sensor that receives surrounding information and algorithm that extracts information. Recently the media generally used for ITS research is a picture, and not much research using sound is done. But sound sensor is still expected because s...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2003-04, Vol.113 (4_Supplement), p.2260-2261
Main Authors: Hara, Hironori, Ozawa, Shinji
Format: Article
Language:English
Online Access:Get full text
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Summary:It is important for progress of ITS technology to develop the sensor that receives surrounding information and algorithm that extracts information. Recently the media generally used for ITS research is a picture, and not much research using sound is done. But sound sensor is still expected because sound has global information and less calculation cost than a picture. And research of a probe car that collects surrounding situations by the sensor is generally done. So improvement in sensing technology is desired. Moreover discrete wavelet transform attracts attention as the technique of signal processing. DWT is suitable for the analysis of nonstationary signals as road environmental sound. So the new system of the probe car using a sound sensor is proposed. Measurement of traffic is assumed as a probe car application example. In this paper, the result of count passing oncoming car with DWT to road environmental sound is reported. Road environmental sound was recorded in two kinds of road, uncovered road and tunnel, the validity of algorithm was verified by experiment.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.4780479