Stop Line Recognition Using Section-Line Luminance Verification
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Solution Overview
Problem
Existing stop line recognition systems in vehicles are prone to false detection due to shadows of three-dimensional objects or street lights, leading to inaccurate determination of stop lines in luminance value histograms.
Innovation Solution
A stop line recognition device that includes a driving environment information obtainer and recognizer, which detects stop line candidates based on luminance differences and examines the presence of a bright portion sandwiched between dark portions using section lines to confirm the authenticity of the stop line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stop line detection is performed based on luminance difference in each pixel row, then stop line recognition capability is improved, but false detection occurs due to shadows of three-dimensional objects or street lights
Solution Approach 1:
The patent divides the detection process into multiple stages: first detecting stop line candidates based on luminance differences, then verifying them using section line information and luminance distribution patterns. This segmentation of the detection process allows the system to maintain high recognition capability while reducing false detections by validating candidates through multiple criteria.
Solution Approach 2:
The patent introduces section lines as an intermediary element to verify stop line candidates. By detecting section lines that intersect with candidate stop lines and analyzing the luminance distribution around these intersection points, the system can distinguish true stop lines from false candidates caused by shadows or street lights, thereby improving detection reliability.
2Speed
If luminance value histogram analysis is used to detect stop lines, then detection speed is improved, but false detection occurs under illumination conditions
Solution Approach 1:
The patent performs preliminary detection of stop line candidates using fast luminance difference analysis, then applies verification steps using section line detection and luminance distribution analysis. This preliminary action approach maintains detection speed by using quick initial screening while ensuring reliability through subsequent verification of candidates that pass the initial filter.
Solution Approach 2:
The patent implements a feedback mechanism where the detection result of stop line candidates influences the subsequent verification process. Candidates that meet initial luminance criteria are subjected to further verification using section line information and luminance distribution patterns, creating a feedback loop that ensures both speed and reliability in the overall detection process.
Data Source
AI summary
A stop line recognition device includes a driving environment information obtainer obtaining driving environment information; and a driving environment recognizer recognizing a driving environment. The driving environment recognizer includes: a stop line candidate detector detecting a stop line candidate from a luminance difference of a road surface; a stop line determiner determining whether the stop line candidate is a stop line; a section line detector detecting at least one section line intersecting the stop line candidate; a luminance distribution processor obtaining a luminance distribution of the section line; and a luminance for stop line false detection pattern detector examining whether a bright portion sandwiched between dark portions is detected in a pre-set search range of the section line. The stop line determiner determines that the stop line candidate is not a stop line when a bright portion sandwiched between dark portions has been detected in the search range.