3D Pavement Contour Detection for Accurate Road Condition Indexing
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Solution Overview
Problem
Current methods for detecting pavement conditions, such as cracking and deformation, rely on two-dimensional image recognition, which is prone to human error, fails to capture depth information, and requires multiple sensors, leading to high costs and maintenance difficulties.
Innovation Solution
A method and device using a three-dimensional contour detection system that acquires and processes three-dimensional data to extract key contours, enabling accurate detection of various pavement indices like deformation, texture, and roughness, reducing costs and facilitating maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional image recognition technology is used for pavement detection, then the detection system is simple to implement, but the detection accuracy is low and depth information is lost
Solution Approach 1:
The patent transitions from two-dimensional image recognition to three-dimensional contour detection by introducing depth information through a line scanning three-dimensional measurement sensor. This dimensional upgrade enables accurate detection of pavement deformation, cracking, and roughness while maintaining system practicality through specialized hardware design.
2Adaptability or versatility
If multiple sensors are used for different detection indexes, then the detection comprehensiveness is improved, but the equipment cost and maintenance difficulty increase
Solution Approach 1:
The patent makes a single line scanning three-dimensional measurement sensor perform multiple detection functions by processing different aspects of the three-dimensional contour data. The same sensor data is used to detect cracking, deformation, roughness, and other pavement conditions, eliminating the need for multiple specialized sensors while maintaining comprehensive detection capability.
3Measurement precision
If human eye detection is used for pavement inspection, then the equipment cost is low, but the detection accuracy is poor and labor resources are wasted
Solution Approach 1:
The patent replaces human visual inspection with an automated three-dimensional contour detection system using a line scanning sensor. This substitution eliminates subjective human judgment, reduces labor resources, and provides consistent, objective, and accurate detection results through automated image processing and analysis algorithms.
Data Source
AI summary
The present application provides a pavement technical condition detection method and device based on a three-dimensional contour. The method includes: acquiring three-dimensional contour data and grayscale data of a pavement on the basis of a line scanning three-dimensional measurement sensor; preprocessing the three-dimensional contour data and the grayscale data, where the preprocessing includes performing three-dimensional modeling according to the three-dimensional contour data to acquire three-dimensional modeling data and correcting the grayscale data; and extracting a key contour of each cross section in the three-dimensional modeling data, and performing pavement technical condition index detection on the pavement according to the three-dimensional modeling data, the key contour, and the corrected grayscale data to acquire a technical condition index of the pavement.