Lane Width Detection Using Own Lane Compartment Lines
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Solution Overview
Problem
Existing techniques for detecting changes in lane width rely on information from adjacent lanes, which are not always available, such as when there is no adjacent lane or when compartment lines are not reflected in the camera's image.
Innovation Solution
An image capturing device equipped with a camera and a control device that determines changes in lane width based on relationships among compartment line widths and distances at different points on the image, without requiring information from adjacent lanes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lane width detection uses adjacent lane information, then detection accuracy is improved, but system reliability deteriorates when adjacent lane data is unavailable
Solution Approach 1:
The invention extracts the essential information needed for lane width detection (compartment line positions and widths) and removes the dependency on adjacent lane data. By focusing only on the own lane's compartment lines and their geometric relationships, the system achieves reliable detection without requiring adjacent lane information that may not be available.
Solution Approach 2:
The system uses only the own lane's compartment line information to determine lane width changes. The compartment lines of the own lane serve themselves as the reference for detection, eliminating the need for external adjacent lane data. This self-contained approach ensures reliability regardless of adjacent lane visibility.
2Measurement precision
If lane width detection requires adjacent lane compartment lines, then detection precision is improved, but ease of operation deteriorates due to additional detection requirements
Solution Approach 1:
The invention extracts only the necessary elements for lane width detection - the compartment lines bounding the own lane - and eliminates the requirement to detect and process adjacent lane compartment lines. This reduction in detection targets simplifies the overall process while maintaining sufficient precision through geometric relationship analysis.
3Device complexity
If the system uses only own lane compartment line information, then system complexity is reduced, but measurement precision may deteriorate
Solution Approach 1:
The invention transitions from a one-dimensional approach (measuring lane width directly) to a two-dimensional geometric relationship analysis. By examining the relationships among compartment line widths and distances at multiple points, the system achieves accurate lane width detection using only own lane information, compensating for the reduced data availability through enhanced analytical dimensionality.
Solution Approach 2:
The system changes the detection parameters from absolute lane width measurements to relative geometric relationships among compartment lines. By analyzing how compartment line widths and distances relate to each other at different points, the system maintains measurement precision while using a simpler set of input parameters that do not require adjacent lane data.
Data Source
AI summary
An image capturing device that detects a change in lane width for a vehicle without using information on an adjacent lane is mounted in the vehicle and includes a first camera which captures a first image and a control device which recognizes, in the first image, first and second compartment line L1 and L2 that regulate lanes. The control device determines the presence or absence of a change in lane width on the basis of relationships among the widths of the first compartment line L1 at two points PV1, PV2 at which the distances from a vehicle on the first image are different, the widths of the second compartment line L2 at the two points PV1, PV2 on the first image, and the distances between the first compartment line L1 and the second compartment line L2 at the two points PV1, PV2 on the first image.