Lane Recognition Device Branch Point Accuracy
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Solution Overview
Problem
Conventional lane recognition devices inaccurately recognize lane marks at branch points between main and branch lanes, leading to low recognition accuracy.
Innovation Solution
A lane recognition device that extracts edge points from camera images, recognizes demarcation line candidates based on continuity, modifies candidates by excluding distant points, and re-recognizes lines using continuous edge points, while also holding information for parallelism recovery during vehicle vibrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the lane recognition device uses all detected edge points to recognize demarcation lines, then the recognition process is simple, but the recognition accuracy decreases at branch points where lane marks are interrupted
Solution Approach 1:
The patent segments the edge points into two categories: those within a predetermined distance from the vehicle and those beyond that distance. This segmentation allows the system to selectively use only the relevant edge points (those within the predetermined distance) for recognizing demarcation lines on the main lane, thereby improving recognition accuracy at branch points while maintaining a manageable processing complexity through structured point selection.
Solution Approach 2:
The patent applies different selection criteria to different spatial regions of edge points. Specifically, it gives priority to edge points located within a predetermined distance from the vehicle when recognizing demarcation lines, while excluding or giving lower priority to distant edge points that may belong to branch lanes. This local quality differentiation ensures accurate main lane recognition without requiring complex global analysis of all edge points.
2Measurement precision
If the device excludes distant edge points to improve main lane recognition, then main lane demarcation accuracy improves, but the system may fail to detect branch lanes
Solution Approach 1:
The patent implements a dynamic recognition process that adapts based on the recognition results. The demarcation line candidate modifying unit first excludes distant edge points to accurately recognize main lane demarcation lines. Then, the demarcation line recognizing unit uses these recognized main lane lines as a reference to subsequently detect branch lanes. This dynamic two-stage approach ensures both accurate main lane identification and branch lane detection capability.
Solution Approach 2:
The patent performs preliminary recognition of main lane demarcation lines by excluding distant edge points before proceeding to detect branch lanes. This preliminary action establishes accurate reference lines for the main lane, which are then used as a basis for detecting branch lanes in the subsequent processing stage, ensuring that branch lane detection is based on reliable main lane identification.
3Measurement precision
If the device re-recognizes demarcation lines after excluding distant edge points, then recognition accuracy improves, but processing time increases
Solution Approach 1:
The patent extracts and excludes distant edge points from the processing set before performing demarcation line recognition. By removing these potentially misleading distant points in advance, the system avoids the need for complex iterative processing or multiple recognition passes, thereby improving accuracy while minimizing additional processing time through a single efficient recognition operation on the filtered point set.
Data Source
AI summary
A demarcation line candidate recognizing unit recognizes demarcation line candidates which are candidates for a pair of right and left demarcation lines demarcating a lane based on edge points having predetermined continuity in an image captured by a camera. A demarcation line candidate modifying unit excludes edge points whose corresponding positions in a real space are a predetermined distance or more away from the camera in the case where parallelism between the pair of right and left demarcation line candidates recognized by the demarcation line candidate recognizing unit is equal to or less than a predetermined level and re-recognizes the pair of right and left demarcation line candidates based on the edge points having predetermined continuity among the edge points which have not been excluded.