Art

J-GLOBAL ID：202002214546398518   Reference number：20A0621356

Deep learning-based multi-class damage detection for autonomous post-disaster reconnaissance

自律的災害後調査のための深層学習ベースのマルチクラス損傷検出【JST・京大機械翻訳】

Author (5)： Ghosh Mondal Tarutal (Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana) ,  Jahanshahi Mohammad R. (Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana) ,  Jahanshahi Mohammad R. (School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana) ,  Wu Rih-Teng (Lyles School of Civil Engineering, Purdue University, West Lafayette, Indiana) ,  Wu Zheng Yi (Bentley Systems, Incorporated, Watertown, Connecticut)
Material： Structural Control and Health Monitoring
Volume： 27  Issue： 4  Page： e2507  Publication year： 2020 
JST Material Number： W2752A  ISSN： 1545-2255  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Timely assessment of damages i...

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Thesaurus term： remotely piloted vehicle ,  exposure(photography) ,  earthquake ,  reinforcing steel ,  visual sense ,  concrete ,  surface crack ,  robot ,  infrastructure ,  network ,  *learning ,  *damage detection ,  spalling ,  facade
Semi thesaurus term： *深層学習 , 【Automatic Indexing@JST】

Author keywords (5)： damage detection ,  deep learning ,  Faster RCNN ,  earthquake reconnaissance ,  UAV

JST classification (2)： Earthquake-proofing,vibration-proofing,seismic isolation of buildings  (RB01035P) ,  Concrete structures  (RA04030A)

Terms in the title (6)： 災害 ,  調査 ,  深層学習 ,  マルチ ,  クラス ,  損傷検出