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Paper Abstract and Keywords
Presentation 2021-09-08 13:50
Development and Evaluation of a Wide-Area Road Surface and Snow Condition Observation System utilizing Traveling Sensing by LiDAR
Ryota Akiyama, Hiroshi Yamamoto (Ritsumei Univ.), Yoshinori Kitatsuji (KDDI Research, Inc.) IA2021-21
Abstract (in Japanese) (See Japanese page) 
(in English) In order to improve the efficiency of the snow removal activity in heavy
snowfall areas, the measurement of the snow depth of roads is one of the
most important tasks.
However, at present, the snow removal operator visually measures the
snow depth by using rulers and poles.
This is one of the reasons why there is a shortage of young workers for
snow removal work.
In addition, the measurement of road surface condition is also an
important task for the maintenance of paved roads, but it is extremely
difficult for local governments to perform the measurement in a wide
area due to lack of budget and staff in charge.
The existing research has proposed a method of measuring road surface
conditions by using ultrasonic distance sensors and by analyzing camera
images for the snow measurement.
However, the measurement range is limited to the vicinity where the
measurement device is installed, and it is difficult to correctly
measure the undulations of the road surface and snow surface.
In this study, we propose a new system that installs high-precision
sensors such as LiDAR which can measure the shape of the road surface on
snowplows and vehicles owned by local governments and analyzes the point
cloud data collected by LiDAR while the vehicles are in operation.
In addition, the method to estimate the deterioration of the road
surface by analyzing the point cloud data that represents the shape of
the road surface is proposed,
Furthermore, the application to the system that can observe and predict
the snow surface in the area where the measurement device cannot be
fixedly installed is also considered.
Keyword (in Japanese) (See Japanese page) 
(in English) Snow cover observation / road surface observation / LiDAR / point cloud data analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 167, IA2021-21, pp. 42-48, Sept. 2021.
Paper # IA2021-21 
Date of Issue 2021-09-01 (IA) 
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 IA2021-21

Conference Information
Committee IA  
Conference Date 2021-09-08 - 2021-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, etc. 
Paper Information
Registration To IA 
Conference Code 2021-09-IA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and Evaluation of a Wide-Area Road Surface and Snow Condition Observation System utilizing Traveling Sensing by LiDAR 
Sub Title (in English)  
Keyword(1) Snow cover observation  
Keyword(2) road surface observation  
Keyword(3) LiDAR  
Keyword(4) point cloud data analysis  
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Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryota Akiyama  
1st Author's Affiliation Ritsumeikan University (Ritsumei Univ.)
2nd Author's Name Hiroshi Yamamoto  
2nd Author's Affiliation Ritsumeikan University (Ritsumei Univ.)
3rd Author's Name Yoshinori Kitatsuji  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research, Inc.)
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Speaker Author-1 
Date Time 2021-09-08 13:50:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2021-21 
Volume (vol) vol.121 
Number (no) no.167 
Page pp.42-48 
#Pages 7 
Date of Issue 2021-09-01 (IA) 

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