Pavement Distress Analysis

Function Overview

Pavement Distress Analysis follows ASTM D6433-07 to detect, verify, and summarize pavement distress from road point clouds and images. It calculates PCI by sample unit and generates an analysis report for pavement condition assessment and project delivery.

Basic Information

Detection Coverage

  • Point Cloud-based Distress Detection: Focuses on geometrically deformed distress, including rutting, depression, potholes, bumps, swell, corrugation, and shoving.

  • Image-based Distress Detection: Focuses on surface distress, including transverse cracking, longitudinal cracking, alligator cracking, potholes, patching, and raveling.

  • Combined Detection: The two methods can be used independently according to the available data or run together to supplement different distress types.

Outputs

  • Distress Results: Detected and verified pavement distress is stored in the "Distress" layer.

  • PCI Results: PCI is calculated from the "Distress" and "Sample Unit" layers and stored in the "PCI Section" layer.

  • Analysis Report: A pavement distress analysis report is exported from the PCI and distress statistics for condition assessment and delivery.

Input Data

  • Point Cloud Data: Load point cloud data covering the target road into the current project.

  • Lane Line Vectors: Required by Point Cloud-based Distress Detection to define the detection range and lane count.

  • Image Data: Image-based Distress Detection requires photos and an image list file (*.imglist) matched to the point cloud.

  • Trajectory or Road Center Line: Required during PCI calculation to associate results and create "PCI Section" records along the road.

Working Modes

The module provides two working modes:

  • Basic: For first-time users or users who want to complete the standard process quickly. Select the required steps in Pavement Distress Analysis Workflow and click Run to execute them together. Independent point cloud detection and verification functions are also available for supplementing or correcting results.

  • Pro: For users familiar with the processing sequence who need independent parameter adjustment or step-by-step troubleshooting. Functions are arranged by Preprocessing, Detection, Verification, and Output and can be combined according to the available data and intermediate results.

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