Road Surface Image Alignment for Consistent Deterioration Diagnosis
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Solution Overview
Problem
Road surface deterioration recognition varies based on imaging direction, making it difficult to accurately diagnose the state of a road surface when images are captured from multiple directions.
Innovation Solution
A road surface diagnosis system that includes an acquisition unit for capturing multiple images, a recognition unit for identifying deterioration, a conversion unit for aligning images of the same site, a determination unit for comparing images, and a display control unit for accurately displaying identical or different deterioration based on the comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple road surface images are captured from different directions to comprehensively diagnose road deterioration, then the coverage and completeness of diagnosis is improved, but the accuracy of identifying identical deterioration decreases due to variations in appearance caused by different imaging angles
Solution Approach 1:
The system dynamically adjusts image processing based on imaging direction. It detects the imaging direction from each captured image and applies direction-specific conversion processing to standardize the appearance of road deterioration regardless of viewing angle. This dynamic adaptation allows the system to maintain high identification accuracy while processing images from multiple directions for comprehensive coverage.
Solution Approach 2:
The system changes the parameter of image orientation by detecting imaging direction and converting images to a standardized view. By altering the directional parameter of each image based on its capture angle, the system enables accurate comparison and identification of identical road deterioration across multiple imaging perspectives, resolving the contradiction between comprehensive coverage and identification accuracy.
2Measurement precision
If image conversion processing is applied to standardize the appearance of road deterioration across different imaging angles, then the accuracy of identifying identical deterioration is improved, but the processing complexity increases
Solution Approach 1:
The system performs preliminary detection of imaging direction before conducting the main task of identifying road deterioration. By detecting the imaging direction in advance and pre-converting images to a standardized orientation, the system simplifies subsequent comparison and identification processes. This preliminary action reduces the overall processing complexity while maintaining high identification accuracy.
3Reliability
If multiple images of the same road surface location are compared to identify identical deterioration, then the reliability of diagnosis is improved, but the time required for processing and analysis increases
Solution Approach 1:
The system dynamically converts images based on their detected imaging direction before comparison. By standardizing the orientation of multiple images of the same location through direction-based conversion, the system enables efficient and accurate comparison. This dynamic processing approach maintains high diagnostic reliability by ensuring identical deterioration appears consistently across images, while optimizing processing time through targeted conversion rather than exhaustive analysis.
Data Source
AI summary
A road surface diagnosis 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 plurality of road surface images; recognize road surface deterioration from each of the acquired road surface images; convert at least one of the plurality of road surface images; compare the plurality of road surface images in each of which the road surface at the identical site is imaged, the plurality of road surface images including the converted road surface image, and determine whether road surface deterioration recognized from the road surface images is an identical road surface deterioration; and display, based on the determination, information of the recognized road surface deterioration as information indicating one road surface deterioration or information indicating different road surface deterioration.