Lane Marking Recognition for Interrupted Road Continuity
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Solution Overview
Problem
Conventional vehicle control systems struggle to accurately detect lane markings on roads with repetitive uphill and downhill slopes, leading to incorrect recognition of the road shape due to discontinuities in lane marking continuity.
Innovation Solution
A vehicle control device that includes a peripheral image acquisition unit, a lane marking recognition unit, and a specified region determining unit, which identifies regions with interrupted continuity and adjusts lane marking recognition to occur on the side closer to the vehicle than the specified region, preventing erroneous recognition of the road shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If lane marking detection is performed on the entire image including discontinuous portions, then the detection range is maximized, but the road shape is mistakenly recognized due to continuity interruption
Solution Approach 1:
The image is divided into a first region (entire image) and a second region (excluding discontinuous portions). Lane marking detection is performed separately in each region, allowing the system to maintain comprehensive detection coverage while preventing erroneous road shape recognition by excluding problematic discontinuous areas from the shape analysis.
2Stability of the object's composition
If lane markings are connected at discontinuous portions, then continuity is maintained, but the actual road shape is erroneously recognized
Solution Approach 1:
The detection process is segmented into two distinct operations: one for the entire image to maintain continuity, and another for the region excluding discontinuous portions to ensure accurate road shape recognition. This segmentation allows both continuity and accuracy requirements to be satisfied simultaneously.
Solution Approach 2:
The second region detection acts as an intermediary correction mechanism. It identifies the true road boundaries by excluding discontinuous portions, thereby mediating between the continuous lane marking connection and accurate road shape recognition.
3Productivity
If the entire image is used for lane marking detection, then detection completeness is improved, but noise and discontinuities increase
Solution Approach 1:
The image processing is divided into two segments: complete detection on the entire image for productivity, and refined detection on the region excluding discontinuous portions for noise reduction. This segmentation enables the system to achieve both detection completeness and noise filtering.
Solution Approach 2:
The harmful discontinuous portions are extracted and excluded from the second detection region. This extraction removes noise and discontinuities from the analysis while preserving the beneficial complete detection coverage in the first region.
Data Source
AI summary
A vehicle control device includes a peripheral image acquisition unit adapted to acquire peripheral image data including a lane marking on a road in a travel direction of a host vehicle, a lane marking recognition unit adapted to recognize the lane marking from the image data, and a specified region determining unit adapted to determine, within the image data, the presence or absence of a specified region where continuity of the road is interrupted. In the case that the specified region exists, the lane marking recognition unit performs recognition of the lane marking on a side closer to the host vehicle than the specified region.