Three-dimensional pavement crack image generation system and method

Abstract

The invention relates to a three-dimensional pavement crack image generation system and method. The system includes an information acquisition subsystem, a data processing subsystem and the like, wherein the information acquisition subsystem includes an image acquisition module and a crack depth acquisition module; the image acquisition module includes a shooting control sub-module, a CCD line scan camera and a structured light projector; and the data processing subsystem includes an information storage module, an image registration module, a visible light image crack detection module, a structured light image space texture extraction module and an image fusion module. The method comprises the following steps: step S100, collecting sample crack information, and building a crack depth prediction model; step S200, collecting a target rack image, extracting crack features and space texture, and calculating the target crack depth. Compared with the prior art, the three-dimensional pavement crack image generation system and method provided by the invention are simpler and more feasible and high in accuracy, and have broad application prospects.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows us create 3D images from 2D surfaces without requiring multiple cameras or projection devices. It uses special lights made up of specific patterns to reflect onto these surfaces like lampshades or stones. By aligning and fusing this reflected pattern together we get an accurate map of any cracks formed during construction activities such as paving roads.

Problems solved by technology

In this patented technical problem addressed in the patents text relates to detecting and correcting defects caused by cracks or degraded materials in pavements without damaging them themselves. Current techniques involve destructively removing existing material layers before applying new ones but they may also cause further issues like reduced durability over time. There has been an increasing demand for improved ways to accurately identify these types of flaws while minimizing their impact upon both maintaining good traffic safety standards and reducing operational cost.

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