Lane Recognition Suppression for Diverging Road Branches
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Solution Overview
Problem
Conventional lane recognition systems often mistakenly identify lane partition lines of diverging roads as those of the vehicle's current lane, especially when a road branch is present ahead.
Innovation Solution
An apparatus that acquires images and map information to set a pre-branch section ahead of a road branch, suppressing the recognition of lane partition lines on the diverging road side within this section to prevent misidentification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional lane recognition techniques are used to detect lane partition lines in images, then lane detection can be performed, but misrecognition occurs when a branch road is present ahead
Solution Approach 1:
The system performs preliminary actions by acquiring map information about branch locations in advance, determining geographical locations, and setting pre-branch sections before lane recognition is performed. This allows the system to proactively identify regions where misrecognition may occur and suppress lane partition line recognition in those specific areas, thereby preventing misrecognition before it happens.
Solution Approach 2:
The system applies local quality by differentiating the recognition process based on spatial location. Instead of uniformly recognizing lane partition lines across the entire image, the system selectively suppresses recognition only in the pre-branch section area where branch roads are located, while maintaining normal recognition in other areas. This localized approach preserves overall recognition accuracy while preventing misrecognition specifically in problematic regions.
2Productivity
If lane partition line recognition is performed on all detected lines in the image, then comprehensive lane detection is achieved, but false positives increase due to diverging road lines
Solution Approach 1:
The system makes different parts of the image subject to different recognition rules. In the pre-branch section area, lane partition line recognition is suppressed to avoid false positives from diverging roads. In other areas outside the pre-branch section, normal recognition is performed to maintain comprehensive lane detection. This spatially differentiated approach balances detection coverage with identification accuracy.
Solution Approach 2:
The system extracts and isolates the problematic area (pre-branch section) from the rest of the image for special handling. By identifying the specific region where branch roads are located and separating it from the general recognition process, the system can apply suppression only to that extracted region, thereby removing the source of false positives without affecting recognition in other valid areas.
Data Source
AI summary
In an apparatus for recognizing a lane partition line, a pre-branch section setting unit sets a pre-branch section of a road on which an own vehicle is traveling. The pre-branch section extends a section length from a start line that is positioned closer to the own vehicle than a branch location by an offset distance in a traveling direction of the own vehicle. A determination unit determines whether or not a geographical location of the own vehicle is within the pre-branch section. If it is determined that the geographical location of the own vehicle is within the pre-branch section, a recognition unit suppresses recognition of the lane partition line on an diverging road side of the road on which the own vehicle is traveling. The diverging road is another road branching off from the road on which the vehicle is traveling at the branch location.