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Paper Abstract and Keywords
Presentation 2019-01-29 09:00
Proposal of Noise Suppression Method for Acoustic Vehicle Detector
Chengyu Li, Shigemi Ishida, Kazuo Kubo, Masato Uchino (Kyushu Univ.), Shigeaki Tagashira (Kansai Univ.), Akira Fukuda (Kyushu Univ.) ASN2018-85
Abstract (in Japanese) (See Japanese page) 
(in English) In the ITS (Intelligent Transport Systems), detecting vehicles running on a road is one of the most important tasks. To detect vehicles running on a road with low traffic volume, we are developing a vehicle detector using stereo microphones. By calculating the time difference of arrival of vehicle sound signals on two microphones with cross-correlation, this system successfully detects vehicles with high accuracy at a low cost. However the accuracy of the detector is affected by environmental noise such as rain noise. This paper presents a de-noising method which can be used on the acoustic vehicle detector. We capture sound signals when no vehicle is passing and add the absolute values of frequency components of the sound signals to reduce the influence of noise in cross-correlation. To demonstrate the effectiveness of the proposed method, we conducted experimental evaluation in Kyushu University campus. The experimental evaluation demonstrated that the proposed method reduced the number of undetected vehicles and improved vehicle detection accuracy in raining and heavy raining conditions by 4 and 13 points, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) vehicle detection / acoustic sensing / noise reduction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 428, ASN2018-85, pp. 35-40, Jan. 2019.
Paper # ASN2018-85 
Date of Issue 2019-01-21 (ASN) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ASN  
Conference Date 2019-01-28 - 2019-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyuukamura Ibusuki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ambient intelligence, Sensor networks, Poster session, etc. 
Paper Information
Registration To ASN 
Conference Code 2019-01-ASN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Noise Suppression Method for Acoustic Vehicle Detector 
Sub Title (in English)  
Keyword(1) vehicle detection  
Keyword(2) acoustic sensing  
Keyword(3) noise reduction  
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1st Author's Name Chengyu Li  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Shigemi Ishida  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Kazuo Kubo  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Masato Uchino  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Shigeaki Tagashira  
5th Author's Affiliation Kansai University (Kansai Univ.)
6th Author's Name Akira Fukuda  
6th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2019-01-29 09:00:00 
Presentation Time 25 minutes 
Registration for ASN 
Paper # ASN2018-85 
Volume (vol) vol.118 
Number (no) no.428 
Page pp.35-40 
#Pages
Date of Issue 2019-01-21 (ASN) 


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