Color-Specific Line Detection for Low-Load Path Recognition
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Solution Overview
Problem
Existing technologies struggle to accurately detect lines of specific colors on traveling paths, such as roads, which are crucial for autonomous vehicle navigation, as they often rely on edge detection methods that are computationally intensive and prone to errors.
Innovation Solution
A line detection device and method that divides images along the path direction, generates distribution information, selects candidate pixels based on color criteria, and specifies lines using regression analysis, reducing computational load and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If edge detection methods are used to detect lines of specific colors, then line detection capability is provided, but computational load increases and accuracy decreases
Solution Approach 1:
The image processing is segmented into distinct stages: color space conversion, candidate pixel selection based on color criteria, and line specification through regression analysis. This segmentation allows each stage to focus on specific tasks, improving overall detection accuracy while managing computational complexity efficiently.
Solution Approach 2:
The invention extracts only the necessary color information from the image by converting to a suitable color space and selecting candidate pixels based on specific color criteria. This extraction approach avoids the computational burden of processing entire images while maintaining detection accuracy for colored lines.
2Measurement precision
If traditional edge detection is applied to colored lines, then line detection is possible, but detection precision for specific colors deteriorates
Solution Approach 1:
The invention applies local quality by using color-specific criteria to select candidate pixels in different regions of the color space. By tailoring the detection approach to specific color characteristics rather than applying uniform edge detection, the system achieves higher accuracy for detecting lines of specific colors while maintaining reliable detection performance.
Data Source
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AI summary
A line detection device (10) includes a first detection unit (100) and a second detection unit (200). The first detection unit (100) extracts a pixel located in a range having a predetermined color from an image including a traveling path on which a mobile object travels, and specifies a line of a first color included in the image using a distribution of the extracted pixel in the image. After execution by processing by the first detection unit (100), the second detection unit (200) extracts a pixel located in a luminance range having a predetermined luminance from the image and specifies a line of a second color which is included in the image and is different from the first color using a distribution of the extracted pixel in the image.