Vehicle Control via Red Green Color Detection Blob Analysis
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Solution Overview
Problem
Advanced Driver Assistance Systems (ADAS) face challenges in accurately distinguishing and responding to traffic lights and signs, particularly in scenarios where different types of indicators, such as red and green colors, need to be differentiated to ensure vehicle safety and convenience functions.
Innovation Solution
A computer-implemented method and system that processes color images from an imaging system by extracting red and green color components through subtraction of grayscale intensity values, performing blob analysis, and determining the color of traffic indicators to control vehicle systems accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If red color and green color detection is implemented to distinguish traffic indicators, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the color detection process into distinct components: extracting red color components from the color image, extracting green color components from the color image, and performing blob analysis on each component separately. This segmentation allows the system to accurately distinguish between red and green traffic indicators while managing complexity through modular processing steps.
2Measurement precision
If blob analysis is performed on extracted color components, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary extraction of red and green color components from the color image before conducting blob analysis. By pre-processing the image to isolate specific color components, the system reduces the complexity and time required for the subsequent blob analysis step, as the analysis only needs to process already-filtered color data rather than the full color image.
Data Source
AI summary
A method for vehicle control includes receiving a color image from an imaging system. The color image includes a traffic indicator with a color portion. The method includes extracting red color components from the color image by subtracting a grayscale intensity value of each pixel from a red-scale value of each pixel. The method includes extracting green color components from the color image by subtracting the grayscale intensity value of each pixel from a green-scale value of each pixel. The method includes performing blob analysis based on the red color components and the green color components. The method includes determining, based on the blob analysis, a color of the color portion of the traffic indicator, and controlling a vehicle system of a vehicle based on the color of the color portion of the traffic indicator.