フォロー
Tatsuro Yamane
Tatsuro Yamane
National Institute of Technology, Tokuyama College
確認したメール アドレス: tokuyama.ac.jp - ホームページ
タイトル
引用先
引用先
Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine
P Chun, S Izumi, T Yamane
Computer‐Aided Civil and Infrastructure Engineering 36 (1), 61-72, 2021
1962021
Crack Detection from a Concrete Surface Image Based on Semantic Segmentation Using Deep Learning
T Yamane, P Chun
Journal of Advanced Concrete Technology 18 (9), 493-504, 2020
882020
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
PJ Chun, T Yamane, Y Maemura
Computer‐Aided Civil and Infrastructure Engineering 37 (11), 1387-1401, 2022
822022
Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization
P Chun, T Yamane, Y Tsuzuki
Applied Sciences 11 (3), 892, 2021
512021
Evaluation of Tensile Performance of Steel Members by Analysis of Corroded Steel Surface Using Deep Learning
P Chun, T Yamane, S Izumi, T Kameda
Metals 9 (12), 1259, 2019
502019
Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results
P Chun, T Yamane, S Izumi, N Kuramoto
Sensors 20 (10), 2780, 2020
422020
Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections
P Chun, J Dang, S Hamasaki, R Yajima, T Kameda, H Wada, T Yamane, ...
Journal of Robotics and Mechatronics 32 (6), 1244-1258, 2020
312020
Deep learning による Semantic Segmentation を用いたコンクリート表面ひび割れの検出
山根達郎, 全邦釘
構造工学論文集 A 65, 130-138, 2019
302019
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
T Yamane, P Chun, J Dang, R Honda
Computer‐Aided Civil and Infrastructure Engineering 38 (17), 2391-2407, 2023
202023
Detecting and localising damage based on image recognition and structure from motion, and reflecting it in a 3D bridge model
T Yamane, P Chun, R Honda
Structure and Infrastructure Engineering 20 (4), 594-606, 2024
172024
Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method
S Kubo, T Yamane, P Chun
Sensors 22 (17), 6412, 2022
112022
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
山根達郎, 全邦釘, 渡部達也
土木学会論文集 F3 (土木情報学) 77 (2), I_40-I_50, 2021
112021
Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs
T Kunlamai, T Yamane, M Suganuma, PJ Chun, T Okatani
Computer‐Aided Civil and Infrastructure Engineering 39 (3), 345-361, 2024
72024
苦手タイプ改善型ディープラーニングを用いたアスファルト舗装のひび割れ自動検出
都築幸乃, 全邦釘, 山根達郎
AI・データサイエンス論文集 1 (J1), 168-179, 2020
62020
Deep learning-based bridge damage cause estimation from multiple images using visual question answering
T Yamane, P Chun, J Dang, T Okatani
Structure and Infrastructure Engineering, 1-14, 2024
5*2024
Semantic Segmentation を用いた橋梁 3 次元モデルへのひび割れ位置の反映
山根達郎, 上野雄也, 叶井和樹, 泉翔太, 全邦釘
AI・データサイエンス論文集 1 (J1), 491-497, 2020
42020
Attention 機構モデルによる橋梁撮影画像からの損傷状況推定
山根達郎, 渡部達也, 全邦釘
AI・データサイエンス論文集 2 (J2), 632-641, 2021
32021
Mask R-CNN による航空写真からの土砂崩壊地自動検出手法
叶井和樹, 久保栞, 山根達郎, 全邦釘
AI・データサイエンス論文集 2 (J2), 223-231, 2021
32021
Semantic Segmentation を用いた斜面崩壊領域の自動検出
叶井和樹, 山根達郎, 石黒聡士, 全邦釘
AI・データサイエンス論文集 1 (J1), 421-428, 2020
32020
Reflection of the position of cracks in a 3-d model of a bridge using semantic segmentation
T YAMANE, Y UENO, K KANAI, S IZUMI, P CHUN
Artificial Intelligence and Data Science 2 (1), 11-17, 2021
22021
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