Laser-Free Pothole Prediction Using Crack-State Analysis
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Solution Overview
Problem
Existing pothole prediction systems require a light cutting imaging device that emits a slit laser, limiting their applicability and complexity.
Innovation Solution
A pothole prediction system that utilizes a road surface image analysis to determine crack states and calculates the probability of pothole occurrence using a prediction model trained on the relationship between crack states and pothole occurrence, without the need for a slit laser.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a light cutting imaging device emitting a slit laser is used to predict pothole occurrence, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and eliminates the complex light cutting imaging device (slit laser) from the system. Instead of using specialized optical equipment, the invention uses ordinary imaging devices to capture road surface images, which are then processed through image analysis algorithms to extract crack features and predict pothole occurrence. This extraction of the unnecessary complex component resolves the contradiction by maintaining prediction accuracy through software-based analysis rather than hardware-based measurement.
2Measurement precision
If a light cutting imaging device is used for pothole prediction, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system employs automated image analysis algorithms that automatically process road surface images, detect crack patterns, and predict pothole occurrence without requiring manual intervention or specialized operational skills. The prediction model self-service computes the probability of pothole formation based on extracted crack features, eliminating the need for operators to manually analyze complex optical measurements or operate sophisticated laser imaging equipment.
3Measurement precision
If advanced imaging devices are used to capture road surface data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses ordinary imaging devices to create digital copies (images) of the road surface, which are then analyzed through image processing techniques. Instead of relying on complex specialized imaging hardware to directly measure crack properties, the system captures visual copies of the road surface and extracts quantitative crack state information through algorithmic analysis. This copying approach maintains measurement precision while dramatically reducing device complexity by using standard cameras or imaging sensors rather than specialized laser scanning equipment.
Data Source
AI summary
A pothole prediction system according to an aspect of the present disclosure includes: at least one memory storing instructions; and at least one processor configured to execute the instructions to: acquire a road surface image in which a road surface is imaged; analyze a state of a crack on the road surface from the road surface image; calculate a probability of occurrence of a pothole, the probability being predicted from an analysis result, using a prediction model that has learned data showing a relationship between a state of a crack and an occurrence of a pothole as training data; and output information indicating the calculated probability of occurrence of the pothole.