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Paper Abstract and Keywords
Presentation 2026-01-23 09:10
Exploring Methods to Improve Performance in Tactile Paving Detection Based on Cyclist-Participatory Road Image Sensing
Yuto Matsuda (Okayama Univ.), Yuki Matsuda (Okayama Univ./RIKEN AIP) SeMI2025-55
Abstract (in Japanese) (See Japanese page) 
(in English) This study investigates tactile paving detection in road surface images acquired via bicycle-based participatory sensing using compact cameras and the YOLO11 object detection model. Three detection models were trained and evaluated using the original images as well as datasets preprocessed with grayscale conversion and CLAHE-based contrast enhancement. The proposed approach achieved a maximum Precision of 0.828 and an mAP_50 of 0.802, demonstrating robust detection performance for images captured during bicycle travel. Furthermore, applying Non-Maximum Weighted (NMW) and Weighted Boxes Fusion (WBF) for three-model ensemble post-processing suppressed multiple detections and improved accuracy, resulting in a maximum Precision of 0.894 (+8.0%) and an mAP_50 of 0.844 (+5.2%).
Keyword (in Japanese) (See Japanese page) 
(in English) Participatory Sensing / Bicycle / Tactile Paving / Image Recognition / Smart City / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 325, SeMI2025-55, pp. 55-60, Jan. 2026.
Paper # SeMI2025-55 
Date of Issue 2026-01-15 (SeMI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
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)
Download PDF SeMI2025-55

Conference Information
Committee SeMI  
Conference Date 2026-01-22 - 2026-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2026-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exploring Methods to Improve Performance in Tactile Paving Detection Based on Cyclist-Participatory Road Image Sensing 
Sub Title (in English)  
Keyword(1) Participatory Sensing  
Keyword(2) Bicycle  
Keyword(3) Tactile Paving  
Keyword(4) Image Recognition  
Keyword(5) Smart City  
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Keyword(8)  
1st Author's Name Yuto Matsuda  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Yuki Matsuda  
2nd Author's Affiliation Okayama University/RIKEN AIP (Okayama Univ./RIKEN AIP)
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Speaker Author-1 
Date Time 2026-01-23 09:10:00 
Presentation Time 20 minutes 
Registration for SeMI 
Paper # SeMI2025-55 
Volume (vol) vol.125 
Number (no) no.325 
Page pp.55-60 
#Pages 6 
Date of Issue 2026-01-15 (SeMI) 

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