Lane Boundary Recognition Threshold Adaptation
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Solution Overview
Problem
Existing lane boundary line recognition systems struggle to accurately identify lane boundaries on provisional two-lane roads due to dirt and other obstructions, often erroneously recognizing opposing lanes or poles as the lane boundary.
Innovation Solution
A lane boundary line recognition apparatus that adjusts its threshold settings based on specific conditions, increasing the threshold when on a provisional two-lane road and experiencing persistent lane boundary line recognition issues, thereby reducing erroneous recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the threshold for lane boundary line recognition is set low to improve detection sensitivity, then more lane boundaries can be detected, but erroneous recognition of opposing lanes or poles increases
Solution Approach 1:
The patent applies dynamics by making the threshold value changeable based on road type. The system dynamically adjusts the threshold between a first threshold value (for provisional two-lane roads) and a second threshold value (for other roads) based on detection of road characteristics. This resolves the contradiction by allowing high sensitivity when needed while maintaining high reliability through context-aware threshold selection.
Solution Approach 2:
The patent changes the threshold parameter based on road type detection. When a provisional two-lane road is detected, the system switches to using the first threshold value; otherwise, it uses the second threshold value. This parameter change strategy allows the system to optimize detection sensitivity for specific road conditions while preventing erroneous recognition on other road types.
2Reliability
If the threshold is increased to reduce erroneous recognition, then reliability improves, but detection sensitivity decreases and lane boundaries may be missed
Solution Approach 1:
The system changes the threshold parameter based on road type detection. When a provisional two-lane road is detected, the system switches to using the first threshold value; otherwise, it uses the second threshold value. This parameter change strategy allows the system to optimize detection sensitivity for specific road conditions while preventing erroneous recognition on other road types.
Solution Approach 2:
The patent applies dynamics by making the threshold value changeable based on road type. The system dynamically adjusts the threshold between a first threshold value (for provisional two-lane roads) and a second threshold value (for other roads) based on detection of road characteristics. This resolves the contradiction by allowing high sensitivity when needed while maintaining high reliability through context-aware threshold selection.
3Ease of operation
If a fixed threshold is used for all road types, then the system is simple to operate, but it cannot adapt to provisional two-lane roads with dirt and obstructions
Solution Approach 1:
The system dynamically adapts its operation based on detected road type. The threshold selection automatically changes between first and second threshold values depending on whether a provisional two-lane road is detected, allowing the system to adapt to different road conditions without requiring manual configuration or complex user input.
Solution Approach 2:
The system performs self-service by automatically detecting road type and selecting appropriate threshold values without user intervention. The lane boundary line recognition apparatus autonomously determines when to use the first threshold versus the second threshold based on its analysis of road characteristics, eliminating the need for manual threshold adjustment.
Data Source
AI summary
A lane boundary line recognition apparatus acquires an image. Based on edge points extracted from the image, a lane boundary line candidate is extracted, and a lane boundary line probability thereof is calculated. A lane boundary line candidate of which the lane boundary line probability exceeds a threshold is recognized. As the threshold, a first threshold, larger than a second threshold in normal mode, is set when a first condition is met and also a second condition is met. The first condition is that a single lane boundary line is recognized on a roadside side of a lane in which the own vehicle is traveling, and a composite lane boundary line is recognized on a side opposite the roadside side. The second condition is that a state in which a lane boundary line cannot be recognized on at least the opposite side continues for a predetermined amount of time.