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September 10, 2025Intelligent Transportation Infrastructure

Intelligent Tunnel Lining Defect Detection: Advances in Image Acquisition and Data-Driven Techniques

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Authors

YYYongsheng YaoYZYindi ZhaoJLJue Li

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Overview

This review highlights data augmentation and image acquisition methods in tunnel defect detection, addressing key challenges.

Key Points

  • Data augmentation techniques significantly enhance model generalization for detecting tunnel defects, improving outcomes.
  • The review encompasses 276 publications, focusing on advancements in image acquisition methods like GPR and laser scanning.
  • Methods include evaluating challenges like high costs and dataset limitations while proposing future improvements for defect datasets.
  • The findings emphasize efficient practices necessary for real-world applications in intelligent infrastructure maintenance.

Cite This Study

Yao et al. (2025) studied this question.

synapsesocial.com/papers/68c1a40254b1d3bfb60de462https://doi.org/10.1093/iti/liaf013
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