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Chao Lin

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Open access 2026

Application-Oriented Evaluation of Superpoint Transformer for Bridge Component Segmentation in Terrestrial LiDAR Point Clouds

Automated segmentation of structural components from three-dimensional point clouds is critical for bridge inspection and maintenance, underpinning downstream applications like dimensional measurement and Building Information Modeling (BIM) generation. This study presents an application-oriented evaluation framework us...

Kenta Itakura, Riku Miyakawa, Kyotaro Horio et al. · 0 citations
Open access Oct 2026

Structure-Aware Semantic Segmentation and Automated Geometric Analysis Framework for Steel Plate Girder Point Clouds

Accurate geometric information of steel plate girders is essential for structural assessment and lifecycle management, yet reliable as-built data is often unavailable due to missing drawings or discrepancies between design and in-service conditions. This study proposes a unified framework for automated component-leve...

Chao Lin, Yu Chen, Koki Kawahara et al. · 0 citations
Open access Sep 2026

Automated detection of bridge and road damage in orthophotos using deep learning

This study proposes a binary deep learning framework to determine whether the bridges or roads in remote sensing data have been damaged, and provides an automated method for image analysis based on remote sensing data.

Xianfeng Li, Jie-An Liang, Shi-Tao Zheng et al. · 0 citations

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