AUTONOMOUS ROBOTIC INSPECTION IN TUNNELS

12 citations as recorded by crossref.

1. Dynamic Partition Gaussian Crack Detection Algorithm Based on Projection Curve Distribution D. Xue & W. Yuan 10.3390/s20143973
2. Developments in 3D Visualisation of the Rail Tunnel Subsurface for Inspection and Monitoring T. McDonald et al. 10.3390/app122211310
3. Tunnel inspection using photogrammetric techniques and image processing: A review L. Attard et al. 10.1016/j.isprsjprs.2018.07.010
4. Visual Simultaneous Localization and Mapping with Applications to Monitoring of Underground Transportation Infrastructure F. Daneshgaran et al. 10.1177/0361198120963109
5. High-speed acquisition and intelligent tunnel surface defects recognition Y. Wang et al. 10.1016/j.tust.2023.105572
6. Deep learning-based siltation image recognition of water conveyance tunnels using underwater robot X. Wu & J. Li 10.1007/s13349-023-00754-w
7. Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification J. Xu et al. 10.1177/14759217221122318
8. High-Spatial-Resolution Scanning LIDAR: Towards Accurate Inspection of Tunnel Inner Wall T. MURAKAMI et al. 10.2184/lsj.45.7_403
9. AI-Driven Crack Detection for Remanufacturing Cylinder Heads Using Deep Learning and Engineering-Informed Data Augmentation M. Mohammadzadeh et al. 10.3390/automation5040033
10. Detection of Defects Method Using Hammering Robot Imitating Sounds of Workers Y. Takahashi et al. 10.7210/jrsj.38.113
11. Deep-learning-based road crack detection frameworks for dashcam-captured images under different illumination conditions D. Chen & W. Chiu 10.1007/s00500-023-08738-0
12. A coupled 3D laser scanning and digital image correlation system for geometry acquisition and deformation monitoring of a railway tunnel B. Farahani et al. 10.1016/j.tust.2019.102995