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Paper Abstract and Keywords
Presentation 2020-03-06 13:25
Detection of running area from forest road images with different image quality using deep learning
Misato Ushiro, Tetsuya Higashino, Yuukou Horita (Univ. of Toyama) IMQ2019-60 IE2019-142 MVE2019-81
Abstract (in Japanese) (See Japanese page) 
(in English) Natural disasters such as falling rocks and landslides are increasing year by year on forest roads in hilly and mountainous areas. It is expected that accidents can be mitigated if it is possible to accurately detect and share information for the danger place caused by falling rocks and landslides on forest roads obtained by using images acquired from car mounted cameras. However, there is no image data set with a label for road images where landslides and road cracks that interfere with traffic due to natural disasters. In this study, we investigate a method for accurately detecting driving possible area on forest roads by actually taking forest roads and deep learning using collected image data sets.
Keyword (in Japanese) (See Japanese page) 
(in English) Image processing / Forest roads / Semantic image segmentation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 454, IMQ2019-60, pp. 231-234, March 2020.
Paper # IMQ2019-60 
Date of Issue 2020-02-27 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685  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 IMQ2019-60 IE2019-142 MVE2019-81

Conference Information
Committee IE IMQ MVE CQ  
Conference Date 2020-03-05 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IMQ 
Conference Code 2020-03-IE-IMQ-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of running area from forest road images with different image quality using deep learning 
Sub Title (in English)  
Keyword(1) Image processing  
Keyword(2) Forest roads  
Keyword(3) Semantic image segmentation  
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1st Author's Name Misato Ushiro  
1st Author's Affiliation University of Toyama (Univ. of Toyama)
2nd Author's Name Tetsuya Higashino  
2nd Author's Affiliation University of Toyama (Univ. of Toyama)
3rd Author's Name Yuukou Horita  
3rd Author's Affiliation University of Toyama (Univ. of Toyama)
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Speaker
Date Time 2020-03-06 13:25:00 
Presentation Time 25 
Registration for IMQ 
Paper # IEICE-IMQ2019-60,IEICE-IE2019-142,IEICE-MVE2019-81 
Volume (vol) IEICE-119 
Number (no) no.454(IMQ), no.456(IE), no.457(MVE) 
Page pp.231-234 
#Pages IEICE-4 
Date of Issue IEICE-IMQ-2020-02-27,IEICE-IE-2020-02-27,IEICE-MVE-2020-02-27 


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