A COST-EFFECTIVE METHOD FOR CRACK DETECTION AND MEASUREMENT ON CONCRETE SURFACE

8 citations as recorded by crossref.

1. Intelligent detection of building cracks based on deep learning M. Zheng et al. 10.1016/j.imavis.2020.103987
2. A performance-driven evaluation of deep learning for concrete crack detection with varying dataset sizes and training epochs: real-world implications for infrastructure monitoring S. Bussa et al. 10.1007/s42107-025-01361-4
3. Evaluation of the low-cost depth cameras for non-destructive testing N. Alghanim et al. 10.3846/gac.2025.20152
4. Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments A. Tagarakis et al. 10.3390/s22041571
5. YOLOv8-CDD: an improved concrete defect detection method combined CNN with transformer C. Wang et al. 10.1088/1361-6501/ad85f5
6. Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks S. Shim et al. 10.1177/14759217221097868
7. Crack detection system in AWS Cloud using Convolutional neural networks G. Coca et al. 10.1016/j.procs.2020.08.041
8. A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions M. Rashidi et al. 10.3390/rs12223796