Complex Lane Marking Detection Using Brightness Deviation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in accurately determining whether a lane marking on a road is a complex marking, especially when the resolution of the camera image is low, leading to decreased detection accuracy of potential lane points.
Innovation Solution
A complex marking determining device and method that calculates a lane marking representative value and a road surface representative value based on pixel brightness, determining a lane marking as complex when the deviation between these values exceeds a threshold, regardless of potential lane point detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If threshold comparison of brightness values is used, then complex marking determination becomes simple and fast, but may produce false positives with thick single markings
Solution Approach 1:
The invention combines multiple detection criteria (brightness value comparison and edge point detection) into a composite determination system. By requiring both conditions to be satisfied simultaneously, the system maintains high processing speed while improving reliability and reducing false positives
Solution Approach 2:
The system uses edge point detection as a feedback mechanism to verify brightness-based determinations. When brightness values indicate a possible complex marking, edge point detection provides confirming evidence, creating a feedback loop that enhances determination reliability without significantly increasing processing time
Data Source
AI summary
A complex marking determining device includes a brightness state calculating portion configured to calculate a lane marking representative value indicative of a brightness state of a plurality of pixels that make up a lane marking display region, and calculate a road surface representative value indicative of a brightness state of a plurality of pixels that make up the road surface display region; and a complex marking determining portion configured to determine that the lane marking is a complex marking at least when a degree of deviation between the lane marking representative value and the road surface representative value is equal to or greater than a first threshold value.