Deep learning-based displacement identification and quantification for structures with surface features loss

doi:10.1016/j.ymssp.2025.112976

Deep learning-based displacement identification and quantification for structures with surface features loss

2025-06-18

0

PRE

AI

DOI：10.1016/j.ymssp.2025.112976

Original

Original request for help

Save

Abstract

En 中文

• Accurate displacement measurement via deep learning despite feature loss. • Novel non-contact displacement measurement using YOLOv8n and gradient correlation. • Feasibility validated through laboratory experiments. • Robust under illumination variations, fog, and high occlusion in outdoor tests. • Promising for structural health monitoring and engineering applications.

Deep learning-based displacement identification and quantification for structures with surface features loss

Abstract

Journal

Organization