Edge Detection for Parking Boundaries in Diagonal Areas
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Solution Overview
Problem
Conventional image processing systems fail to detect boundary lines of parking sections adjacent to diagonal line areas, as they rely on luminance differences that are not present in diagonal line areas, leading to incorrect detection of parking boundaries.
Innovation Solution
An image processing device equipped with a camera, edge detector, grouping portion, and boundary line setting portion that identifies positive and negative edges by luminance changes and groups them to set boundary lines, enabling detection of parking sections adjacent to diagonal line areas by connecting corresponding edge points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional edge detection based on luminance difference is used, then white line markers can be detected accurately, but boundary lines in diagonal line areas cannot be detected
Solution Approach 1:
The patent changes the detection parameter from luminance difference (conventional method) to edge presence and angular relationship. Instead of relying on luminance transitions, the system detects edges regardless of luminance changes and uses angular relationships between edges to identify boundary lines, enabling detection in diagonal line areas where luminance difference method fails
Solution Approach 2:
The patent creates a universal edge detection method that works for both white line markers and diagonal line areas. By detecting edges based on geometric relationships rather than luminance properties, the system achieves multi-functionality: it can detect conventional white line markers and also detect boundary lines in diagonal line areas, eliminating the need for separate detection methods
2Device complexity
If edge detection relies on luminance difference, then processing is simple, but detection fails in areas without luminance transitions
Solution Approach 1:
The patent replaces the luminance-based detection mechanism with a geometry-based mechanism. Instead of measuring luminance differences, the system detects edges and analyzes their angular relationships and spatial positions. This substitution maintains processing simplicity while dramatically improving reliability in diagonal line areas where luminance transitions are absent
3Measurement precision
If conventional detection method is used, then white line boundaries are accurately identified, but parking sections adjacent to diagonal line areas cannot be identified
Solution Approach 1:
The patent segments the boundary detection task into two parts: detecting individual edges and then analyzing their angular relationships. By dividing the problem into edge detection and geometric relationship analysis, the system can identify boundary lines in diagonal line areas that were previously lost, while maintaining accurate detection of white line boundaries through the same segmented approach
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively detects and sets boundary lines for parking sections adjacent to diagonal line areas, improving the accuracy of parking section identification and enabling proper vehicle guidance in automated parking systems.
Implementation Method 1
a camera (20) that is mounted on a vehicle V, the camera (20) being configured to capture an image around the vehicle V
Implementation Method 2
an edge detector that is configured to detect, with regard to pixels in an image captured by the camera, a portion in which a luminance difference between neighboring pixels changes in a direction that increases equal to or more than a first predetermined value by calculation as a positive edge
Data Source
AI summary
An image processing device includes an edge detector to detect a portion in which a luminance difference between neighboring pixels changes in a direction that increases equal to or more than a first predetermined value as a positive edge and a portion in which the luminance difference between neighboring pixels changes in a direction that decreases equal to or more than a second predetermined value as a negative edge, a grouping portion configured to group the positive edges that have been detected into a positive edge group and the negative edges that have been detected into a negative edge group, and a boundary line setting portion configured to set, as a boundary line: (i) a line connecting end points between the positive edges in the positive edge group; or (ii) a line connecting end points between the negative edges in the negative edge group.