Deep learning-based bridge damage cause estimation from multiple images using visual question answering

IF 2.6 3区 工程技术 Q2 ENGINEERING, CIVIL Structure and Infrastructure Engineering Pub Date : 2024-05-20 DOI:10.1080/15732479.2024.2355929
T. Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani
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利用视觉问题解答,基于深度学习从多幅图像估算桥梁损坏原因
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来源期刊
Structure and Infrastructure Engineering
Structure and Infrastructure Engineering 工程技术-工程:机械
CiteScore
9.50
自引率
8.10%
发文量
131
审稿时长
5.3 months
期刊介绍: Structure and Infrastructure Engineering - Maintenance, Management, Life-Cycle Design and Performance is an international Journal dedicated to recent advances in maintenance, management and life-cycle performance of a wide range of infrastructures, such as: buildings, bridges, dams, railways, underground constructions, offshore platforms, pipelines, naval vessels, ocean structures, nuclear power plants, airplanes and other types of structures including aerospace and automotive structures. The Journal presents research and developments on the most advanced technologies for analyzing, predicting and optimizing infrastructure performance. The main gaps to be filled are those between researchers and practitioners in maintenance, management and life-cycle performance of infrastructure systems, and those between professionals working on different types of infrastructures. To this end, the journal will provide a forum for a broad blend of scientific, technical and practical papers. The journal is endorsed by the International Association for Life-Cycle Civil Engineering ( IALCCE) and the International Association for Bridge Maintenance and Safety ( IABMAS).
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