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Paper Abstract and Keywords
Presentation 2023-03-02 14:00
Unmanned Aerial Vehicle Inspection Method of Building Surface Condition under Challenged Communication Environment
Koki Adachi, Hiroyoshi Miwa (Kwansei Gakuin Univ.) IN2022-83
Abstract (in Japanese) (See Japanese page) 
(in English) In general, building owners have to investigate conditions such as aging deterioration; however, new methods such as remote investigation and investigation using unmanned aerial vehicles (UAV) have been started because of the heavy installation burden of temporary scaffolding. It is necessary to detect abnormalities such as cracks, delamination and floating in the outer wall investigation using images. However, previous studies have mainly focused on detecting anomalies from images and moving images, and methods to investigate the entire structure in a short time or to express the results of the investigation as a three-dimensional model are not sufficient yet. Therefore, in this paper, we design a method to scan the entire external structure of a building using a UAV, detect anomalies from recorded videos and map them on a three-dimensional model, taking into account the challenged communication environment. In addition, the anomaly detection method and mapping on a three-dimensional model are evaluated using real data, and the UAV search routing method is evaluated by numerical experiments using a three-dimensional model of a hypothetical building.
Keyword (in Japanese) (See Japanese page) 
(in English) Drone / UAV / Inspection / AI / Image Analysis / Path Design / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-83, pp. 103-108, March 2023.
Paper # IN2022-83 
Date of Issue 2023-02-23 (IN) 
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)
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Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unmanned Aerial Vehicle Inspection Method of Building Surface Condition under Challenged Communication Environment 
Sub Title (in English)  
Keyword(1) Drone  
Keyword(2) UAV  
Keyword(3) Inspection  
Keyword(4) AI  
Keyword(5) Image Analysis  
Keyword(6) Path Design  
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Keyword(8)  
1st Author's Name Koki Adachi  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Hiroyoshi Miwa  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
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Speaker Author-1 
Date Time 2023-03-02 14:00:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-83 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.103-108 
#Pages
Date of Issue 2023-02-23 (IN) 


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