3D Pavement Faulting Detection via Image Processing
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Solution Overview
Problem
Current methods for detecting pavement faulting are plagued by large measurement errors, low detection efficiency, and high equipment costs, particularly due to the reliance on expensive laser and ultrasonic profilers.
Innovation Solution
A precision 3D-based method and device for detecting pavement faulting, which involves obtaining 3D contour data, identifying suspected joint points, denoising binary images, and performing joint extension operations to accurately determine pavement faulting information without the need for expensive equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection mode using ruler, vernier scale or level is used, then equipment cost is low, but detection speed is low and detection precision is low
Solution Approach 1:
The patent replaces manual mechanical detection tools (ruler, vernier scale, level) with an automated detection system that uses image processing and computer vision algorithms. The system captures pavement images and automatically processes them to extract faulting measurements, eliminating the need for manual mechanical measurement while significantly improving both detection speed and precision.
Solution Approach 2:
The detection system performs self-service by automatically processing images to identify joint points, calculate faulting values, and generate detection reports without human intervention. The system includes automated image preprocessing, joint point detection, and faulting calculation modules that work together to complete the entire detection process autonomously.
2Productivity
If laser profiler or ultrasonic profiler is used for automatic detection, then detection speed is improved, but equipment cost is high and measurement precision is affected by pavement conditions
Solution Approach 1:
The patent replaces expensive laser profilers and ultrasonic profilers with a more economical imaging-based detection system. Instead of using costly specialized profiling equipment, the system uses standard imaging devices combined with sophisticated image processing algorithms to achieve accurate faulting measurements at a fraction of the cost.
Solution Approach 2:
The patent introduces image processing algorithms as an intermediary between the imaging device and the faulting measurement. Rather than directly measuring pavement profiles with expensive profilers, the system captures images and uses computational methods to extract faulting information, making the measurement process more robust to varying pavement conditions.
3Productivity
If profiler is used for automatic detection, then detection efficiency is improved, but measurement precision is low due to influence of cracks, peeling or other factors
Solution Approach 1:
The patent extracts only the relevant features from pavement images for faulting detection. The image processing system specifically targets joint points and faulting characteristics while filtering out irrelevant information such as cracks, peeling, and other pavement defects that would interfere with traditional profiler measurements.
Solution Approach 2:
The detection system applies local quality analysis by focusing processing power on specific regions of interest within the pavement images. The algorithm identifies and analyzes joint areas with higher precision while using coarser processing for surrounding areas, optimizing both accuracy and computational efficiency.
Data Source
AI summary
A precision three-dimensional pavement faulting measurement method includes: acquiring three-dimensional pavement contour data; based on the three-dimensional pavement contour data, obtaining a contour reference surface and a contour deviation between measuring points in the three-dimensional pavement contour data and the contour reference surface; based on the contour deviation, obtaining a suspected joint point; based on the suspected joint point, obtaining a suspected joint denoised binary image; based on a row direction projection feature of target measuring points in the suspected joint denoised binary image, obtaining an original joint target image and a joint representative position; based on the suspected joint denoised binary image, the original joint target image, and the joint representative position, obtaining a target joint binary image by means of a joint extension operation; and based on the target joint binary image and the three-dimensional pavement contour data, obtaining pavement faulting information.