Predictive Road Degradation Image Generation System
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Solution Overview
Problem
Representing a future road degradation level as a numerical value makes it difficult to visualize the state of the road at that time point.
Innovation Solution
An image generation system that acquires a road image, determines the future degradation level, and generates a predictive image showing the expected road degradation based on the determined level, using components like an acquisition unit, degradation level determination unit, and generation unit, which can include machine learning models for image synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a future degradation level of a road is represented by a numerical value, then the degradation level can be quantified and measured, but it becomes difficult to visualize and imagine the actual state of the road at that time point
Solution Approach 1:
The patent creates a predictive image that copies and reproduces the visual appearance of the road as it will look in the future at the predicted degradation level. This synthetic image serves as a visual copy of the future road state, allowing stakeholders to see rather than just read numerical predictions, thereby resolving the contradiction between precise measurement and visual understanding
Solution Approach 2:
The patent introduces a predictive image as an intermediary between the numerical degradation level and human perception. This intermediary translates abstract numerical data into concrete visual information that is easily understandable, bridging the gap between precise measurement and visual comprehension
2Reliability
If road repair planning is based on numerical degradation values and past appearance, then objective data is available for decision-making, but it is difficult for stakeholders to intuitively understand the necessity and urgency of repairs
Solution Approach 1:
The patent employs color mapping where different degradation levels are represented by different colors in the predictive image. This visual encoding allows stakeholders to quickly grasp the severity and urgency of road conditions through color intensity and patterns, making repair planning both reliable and easily understandable
Solution Approach 2:
The patent transforms one-dimensional numerical degradation data into two-dimensional visual images that can be perceived at a glance. This dimensional transformation allows stakeholders to intuitively understand road conditions and repair needs without having to interpret numerical values, improving ease of operation while maintaining reliability
Data Source
AI summary
An image generation system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a road image obtained by imaging of a road; determine a future degradation level of the road; and generate, based on the road image, a predictive image representing road degradation on a surface of the road, in accordance with the future degradation level.