Vehicle Data Analysis for Detecting Hidden Post-Collision Damage
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Solution Overview
Problem
Existing vehicle damage assessment technologies fail to identify components outside the collision area that may be adversely affected by a collision, leading to disputes over insurance claims and unnoticed deterioration or lifespan reduction.
Innovation Solution
A method to analyze vehicle data before and after a collision, comparing the first and second degrees of abnormality to determine the impact of the collision on vehicle components, regardless of their positional relationship to the collision area, and adjust for factors like driving behavior and external influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only components in the collision area are analyzed for damage, then the analysis process is simple and quick, but components outside the collision area that are adversely affected by the collision cannot be identified
Solution Approach 1:
The analysis is segmented into two distinct phases: pre-collision baseline establishment and post-collision abnormality detection. By dividing the evaluation process into these segments, the system can focus resources on detecting changes rather than continuously monitoring all parameters, thus improving detection accuracy while managing complexity.
Solution Approach 2:
The system performs preliminary action by establishing a baseline of normal component operation before the collision occurs. This pre-collision data collection enables the post-collision analysis to focus specifically on detecting deviations from the established baseline, improving the precision of damage identification without requiring continuous complex monitoring.
2Measurement precision
If comprehensive data analysis is performed on all vehicle components after collision, then affected components can be accurately identified, but the analysis time and computational resources increase
Solution Approach 1:
The system extracts and focuses only on the critical change - the difference between pre-collision baseline data and post-collision data. By taking out and analyzing only the deviations rather than re-evaluating all components from scratch, the system achieves accurate identification of affected components while significantly reducing analysis time.
Solution Approach 2:
The system uses the pre-collision baseline data as a reference copy to compare against post-collision data. This copying approach allows for efficient delta analysis, where only changes from the baseline are processed, reducing computational burden while maintaining high identification accuracy.
3Ease of operation
If traditional collision analysis methods are used, then the assessment process is straightforward, but disputes arise over whether deterioration is caused by collision
Solution Approach 1:
The system implements feedback by continuously monitoring component parameters before, during, and after collision, then comparing post-collision readings against the pre-established baseline. This feedback mechanism provides objective evidence of changes attributable to the collision, enhancing cause determination reliability while maintaining operational simplicity through automated comparison.
Solution Approach 2:
By performing preliminary baseline establishment before collision, the system creates a reference state that enables straightforward post-collision comparison. This preliminary action ensures that both the simplicity of the assessment process and the reliability of cause determination are maintained, as the baseline provides objective evidence for dispute resolution.
Data Source
AI summary
Vehicle data is acquired, and is linked with each vehicle component, first degree of abnormality is determined for each vehicle component. When detecting collision, vehicle data is acquired during self-travelling after the collision. If vehicle is not capable of self-travelling, by referring to post-collision vehicle data etc., second degree of abnormality after the collision is calculated. The first and second degrees of abnormality are compared, if the second degree of abnormality is greater than the first degree of abnormality by a predetermined value or more, vehicle component is identified as vehicle component which is outside an impact area, but has been affected in terms of deterioration etc., and necessary information is displayed. When there is an intentional driving characteristic change after the collision, vehicle component is not identified as vehicle component having been affected in terms of deterioration etc.