Traffic Light Arrow Detection with Color and Luminance Filtering
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Solution Overview
Problem
Conventional methods for detecting arrow lights in traffic lights are prone to errors due to halation and background interference, leading to undetected or erroneous detections.
Innovation Solution
An image processing apparatus that identifies a candidate region within a traffic light image by applying conditions related to color and luminance components, determining the arrow light's presence based on the size of the identified region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional red light detection method is used, then detection process is simple, but detection accuracy deteriorates due to halation and background interference
Solution Approach 1:
The patent divides the detection process into distinct stages: first identifying the signal region containing the traffic light, then within that region identifying candidate regions that satisfy specific color and luminance conditions. This segmentation allows each stage to focus on specific characteristics, improving overall detection accuracy while maintaining a structured approach to complexity
Solution Approach 2:
The patent applies different detection criteria to different regions within the traffic light signal. By identifying candidate regions based on local color component ratios and luminance characteristics specific to arrow light positions, the system adapts detection parameters to local conditions rather than applying uniform thresholds across the entire image
2Reliability
If candidate region size threshold is set low, then detection sensitivity increases, but false positive rate increases due to background interference
Solution Approach 1:
The patent dynamically adjusts detection parameters including the size threshold for candidate regions, color component ratio thresholds, and luminance thresholds based on the specific characteristics of the detected signal region. This allows the system to maintain high reliability by filtering out background interference while preserving sensitivity to actual arrow lights through adaptive parameter selection
Data Source
AI summary
An image processing apparatus includes a controller configured to: (i) perform image recognition of a camera image to identify a signal region in which a traffic light exists in the camera image, the traffic light including an arrow light; (ii) identify a candidate region of the signal region, the candidate region satisfying (a) a first condition related to a color component of the arrow light and (b) a second condition related to a luminance component of the arrow light; and (iii) determine that the arrow light of the traffic light is turned on when a size of the candidate region that has been identified is smaller than a predetermined size.