AUTONOMOUS ROBOTIC INSPECTION IN TUNNELS

13 citations as recorded by crossref.

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4. Automated surface damage detection with an embodied intelligence robotic platform K. Altinay et al. https://doi.org/10.1017/dce.2025.10033
5. Tunnel Crack Detection and Evaluation Based on Improved Holistically Nested Edge Detection Network Y. Wang et al. https://doi.org/10.1061/JCCEE5.CPENG-6831
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8. Deep learning-based siltation image recognition of water conveyance tunnels using underwater robot X. Wu & J. Li https://doi.org/10.1007/s13349-023-00754-w
9. Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification J. Xu et al. https://doi.org/10.1177/14759217221122318
10. AI-Driven Crack Detection for Remanufacturing Cylinder Heads Using Deep Learning and Engineering-Informed Data Augmentation M. Mohammadzadeh et al. https://doi.org/10.3390/automation5040033
11. Detection of Defects Method Using Hammering Robot Imitating Sounds of Workers Y. Takahashi et al. https://doi.org/10.7210/jrsj.38.113
12. Deep-learning-based road crack detection frameworks for dashcam-captured images under different illumination conditions D. Chen & W. Chiu https://doi.org/10.1007/s00500-023-08738-0
13. A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel B. Farahani et al. https://doi.org/10.1016/j.tust.2019.102995