Vehicle Recognition Device Taillight Width Correction
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Solution Overview
Problem
Existing vehicle recognition devices inaccurately calculate the width of a preceding vehicle due to overlapping brake lights, leading to incorrect width and distance measurements.
Innovation Solution
A vehicle recognition device that identifies characteristic regions corresponding to taillights, determines the difference in width between these regions, and corrects the outer ends if the difference is within a predetermined value, ensuring accurate recognition of vehicle width and distance by adjusting the outer ends to reflect the actual taillight positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle recognition device uses characteristic regions to identify taillights, then it can recognize vehicle width and distance, but overlapping brake lights from multiple vehicles cause inaccurate width measurements
Solution Approach 1:
The patent divides the characteristic region into multiple determination regions (first determination region and second determination region) to analyze different parts of the light pattern separately. By segmenting the analysis into vertical peripheral areas and peripheral areas in the direction of the second characteristic region, the system can identify and separate overlapping light sources from different vehicles, thereby improving measurement accuracy in the presence of overlapping brake lights.
2Productivity
If the device combines images of brake lights to determine vehicle width, then it can calculate distance and width, but overlapping lights result in detected widths larger than actual vehicle width
Solution Approach 1:
The patent employs a feedback mechanism where the system calculates the degree of correlation between the first determination region and the second determination region, then uses this correlation information to adjust and refine the vehicle width measurement. By continuously comparing the detected characteristic regions with expected patterns and correcting based on correlation analysis, the system maintains accurate measurements even when initial detection is affected by overlapping lights.
Data Source
AI summary
A vehicle recognition device 1 has a characteristic region identifying unit 5 that identifies two characteristic regions 9 arranged in a horizontal direction in an image 6 from an imaging unit 2, and a region outer end identifying unit 10 that identities outer ends 11 in the horizontal direction of the two characteristic regions 9. The region outer end identifying unit 10 identifies a corrected outer end 15 in the case where the difference in width in the horizontal direction between the two characteristic regions 9 is not a predetermined value or less.