Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures

Crack detection and quantification play crucial roles in assessing the condition of concrete structures. Herein, a novel real-time crack detection and quantification method that leverages binocular vision and a lightweight deep learning model is proposed. In this methodology, the proposed method bas...

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Bibliographic Details
Main Authors: Liqu Liu, Bo Shen, Shuchen Huang, Runlin Liu, Weizhang Liao, Bin Wang, Shuo Diao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/2/258
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