Yamane Tatsuro

ヤマネタツロウ | Yamane Tatsuro

Affiliation and department：
Job title： Assistant professor
Homepage URL (2)： https://nit-tokuyama.jp/staff_profile/?staff_id=yamane , https://scholar.google.co.jp/citations?user=gTLfPOIAAAAJ&hl=ja

Research field (1)： Structural and seismic engineering

Research keywords (3)： Bridge Engineering , Maintenance , Structural Engineering

Research theme for competitive and other funds (3)：

Papers (40)：

Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura. Implementation of Explanatory Texts Output for Bridge Damage in a Bridge Inspection Web System. Advances in Engineering Software. 2024. 195. 103706
Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-Jo Chun, Takayuki Okatani. Improving Visual Question Answering for Bridge Inspection by Pre-training with External Data of Image-Text Pairs. Computer-Aided Civil and Infrastructure Engineering. 2024. 39. 3. 345-361
Pang-jo Chun, Tatsuro Yamane, Shreejan Maharjan. Advancing Infrastructure Inspection with AI and 3D Data Platform Integration for Improved Damage Assessment and Enhanced Modeling. Proceedings in Technology Transfer, Springer Nature. 2024. accepted
Tatsuro Yamane, Pang-jo Chun, Riki Honda. Detecting and Localising Damage Based on Image Recognition and Structure from Motion, and Reflecting it in a 3D Bridge Model. Structure and Infrastructure Engineering. 2024. 20. 4. 594-606
稲富翔伍, 山根達郎, 金崎裕之, 全邦釘. 大規模言語モデルと画像セグメンテーションによる専門知識融合型土砂災害危険性判断手法. AI・データサイエンス論文集. 2023. 4. 3. 507-514

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MISC (1)：

Lectures and oral presentations (23)：

複数画像に基づく検出結果のばらつきを考慮した損傷の3Dマッピング
(土木学会第78回年次学術講演会 2023)
インフラメンテナンスにおける AIの活用と展望
(令和5年度土木鋼構造研究会総会・基調講演会 2023)
土木分野におけるAIの活用
(第99回周南地域地盤工学セミナー 2023)
SfM の活用による橋梁撮影画像からの損傷箇所の3次元位置推定
(第24回応用力学シンポジウム 2021)
Deep Learningによる橋梁撮影画像からの損傷状況説明文の自動生成
(第45回土木情報学シンポジウム 2020)

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Education (4)：

2020 - 2023 The University of Tokyo Graduate School of Frontier Sciences Department of International Studies
2018 - 2020 Ehime University Graduate School of Science and Engineering Engineering for Production and Environment
2016 - 2018 Tokuyama College of Technology Environmental and Civil Engineering Course
2011 - 2016 Tokuyama College of Technology Department of Civil Engineering and Archtecture

Professional career (2)：

Work history (2)：

2023/04 - 現在 National Institute of Technology, Tokuyama College Department of Civil Engineering and Architecture Assistant professor
2022/04 - 2023/03 日本学術振興会特別研究員(DC2)

Committee career (2)：

Awards (10)：

2024/05 - Wiley Top Cited Article 2022-2023 A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage
2023/03 - 東京大学大学院新領域創成科学研究科新領域創成科学研究科長賞
2022/05 - 土木学会土木学会賞論文奨励賞 Deep Learningによる橋梁撮影画像からの損傷状況説明文の自動生成
2021/09 - 土木学会土木情報学委員会土木情報学論文奨励賞 Deep Learningによる橋梁撮影画像からの損傷状況説明文の自動生成
2020/11 - Intelligence, Informatics and Infrastructure Outstanding Potential Paper Award AUTOMATIC DETECTION OF CRACKS IN ASPHALT PAVEMENT USING WEAK TYPE IMPROVED DEEP LEARNING

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Association Membership(s) (1)：

土木学会

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