DETECTION OF CRACKS IN PAVED ROAD SURFACE USING LASER SCAN IMAGE DATA

8 citations as recorded by crossref.

1. Review of advanced road materials, structures, equipment, and detection technologies M. Cavalli et al. https://doi.org/10.1016/j.jreng.2023.12.001
2. Autonomous Maintenance of Highway Pavements: A Framework Aiming toward Implementation D. Palin et al. https://doi.org/10.1061/JCEMD4.COENG-16623
3. A stereo vision and deep learning framework for pavement crack length measurement M. Xie et al. https://doi.org/10.1080/10298436.2026.2658669
4. YOLOv8 and point cloud fusion for enhanced road pothole detection and quantification J. Zhong et al. https://doi.org/10.1038/s41598-025-94993-0
5. Road pothole extraction and safety evaluation by integration of point cloud and images derived from mobile mapping sensors H. Wu et al. https://doi.org/10.1016/j.aei.2019.100936
6. 3D Quantitative Characterization of Fractures and Cavities in Digital Outcrop Texture Model Based on Lidar B. Liang et al. https://doi.org/10.3390/en15051627
7. Automated pothole detection and volume assessment using PointPSSN and smartphone LiDAR point clouds T. Zhang et al. https://doi.org/10.1016/j.eswa.2025.129833
8. A review of advanced pavement distress evaluation techniques using unmanned aerial vehicles M. Manjusha & V. Sunitha https://doi.org/10.1080/10298436.2023.2268796