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August 10, 2024Results in EngineeringOpen Access

Terrestrial LiDAR derived 3D point cloud model, digital elevation model (DEM) and hillshade map for identification and evaluation of pavement distresses

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Authors

NKN. H. Riyaz KhanSKS. Vasantha Kumar

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Cite This Study

Khan et al. (2024) studied this question.

synapsesocial.com/papers/68e5cc66b6db6435875625f1https://doi.org/10.1016/j.rineng.2024.102680
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1LiDAR-Based Automatic Pavement Distress Detection and Management Using Deep Learning and BIM2024 · 19 citations
  2. 2An Automated Method for Pavement Surface Distress Evaluation2024 · 4 citations
  3. 3Road Surface Condition Evaluation Using Imaging, LiDAR, and Multi-Grade Navigation Systems2026
  4. 4Applying a Combination of the YOLOv8 Model and 3D Point Cloud Images in Asphalt Pavement Maintenance2026
  5. 5Bridging Image-Based Detection and Field Evaluation: A Semi-Automated Pavement Distress Assessment Framework2026