Detect Damage by Point Cloud (Processing Pipeline)

Function Description: Integrates point cloud-based damage detection, PCI calculation, and report export pipeline, enabling one-click processing for point cloud-based damage detection.

Input and Output

• Data Input

  • Lane Centerline: Different from the interactive selection mode in normal operations, here all vector lines within the "VirtualLaneCenterline" layer are used as input by default. Therefore, the lane centerline must be placed in the "Lane Centerline" layer in advance, while avoiding unrelated vector lines in this layer.

  • Point Cloud Data: Import all point clouds of the current project. The input point clouds can be unclassified, since a classification step is already integrated in the pipeline.

• Result Output

  • Report: By default, output to Current Project/Pavement Damage Analysis/DamageAnalysis.html

Steps

1.Click Processing Pipeline → Detect Damage by Point Cloud. The corresponding pipeline model will be automatically loaded, as shown below:

Detect Damage by Point Cloud Pipeline

2.If the pipeline fails to run due to incorrect input data or if custom parameter adjustment is needed, you may modify the input data or step parameters. Refer to Add and connect data and tools, and modify elements.

3.Ensure the pipeline is in a runnable state before proceeding. This pipeline supports distributed processing, with two execution modes: Run and Distributed Run (only Deep Learning Classification and Detect Damage by Point Cloud support distributed processing, other steps do not). For differences between non-distributed and distributed runs, refer to Run and stop a model.