Demarcation Line Recognition Using Multi-Camera Reliability Assessment
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Solution Overview
Problem
Existing road surface marking recognition systems using a single camera can lead to erroneous line type and position determinations due to stochastic processing, and relying on multiple cameras introduces reliability issues due to varying camera perspectives.
Innovation Solution
A demarcation line recognition device employing multiple cameras, a line type determination unit, a demarcation line position calculation unit, a reliability level calculation unit, and a probability computation unit to accurately determine line types by assessing the reliability of camera inputs and selecting the most reliable candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used for road surface marking recognition, then the device complexity is reduced, but the measurement precision and reliability of line type determination deteriorate due to stochastic processing errors
Solution Approach 1:
The patent combines multiple cameras to capture images of road surface markings from different positions and angles. By merging the detection results from multiple cameras, the system achieves more reliable line type determination while maintaining reasonable device complexity through integrated processing.
Solution Approach 2:
The system calculates reliability levels for each camera's detection results and uses this feedback to weight or select the most reliable detections. This feedback mechanism allows the system to compensate for individual camera errors and improve overall measurement precision.
2Measurement precision
If multiple cameras are used to improve measurement precision, then the reliability of line type determination improves, but the device complexity increases due to multiple camera perspectives and data processing requirements
Solution Approach 1:
The patent introduces a reliability level calculation unit as an intermediary that evaluates the quality of detection results from each camera. This mediator processes the raw data from multiple cameras, assigns reliability scores, and guides the final line type determination, thereby managing the complexity introduced by multiple sensors.
Solution Approach 2:
The system changes the parameter of reliability assessment by calculating reliability levels based on detection consistency and camera positioning. This parameter transformation allows the system to handle multiple camera inputs efficiently by converting complex multi-camera data into a simplified reliability metric.
3Reliability
If multiple cameras are deployed to reduce stochastic errors, then the reliability of recognition results improves, but the difficulty of detecting and measuring reliable camera inputs increases
Solution Approach 1:
The reliability level calculation unit continuously evaluates the quality of detection results from each camera and provides feedback for selecting the most reliable inputs. This feedback loop systematically assesses camera performance and identifies the most trustworthy detection results, reducing the difficulty of determining which camera inputs to trust.
Solution Approach 2:
The system performs self-assessment of camera reliability by automatically calculating reliability levels based on detection consistency and geometric relationships. This self-service mechanism eliminates the need for external manual evaluation of camera quality, streamlining the process of identifying reliable inputs.
Data Source
AI summary
The present invention addresses the problem of enabling an accurate determination of line type using a plurality of cameras. A demarcation line recognition device of the present invention includes a plurality of cameras (101); a line type determination unit (210) that senses demarcation line candidates from respective images obtained by the plurality of cameras and determines line types of the sensed demarcation line candidates; a demarcation line position calculation unit that calculates the positions of the sensed demarcation line candidates; a reliability level calculation unit that computes a reliability level of each demarcation line candidate by using positional relationships between the sensed demarcation line candidates; a probability computation unit (204) to which line types of demarcation line candidates for which the reliability level is equal to or greater than a threshold value are input and that determines the probability of each line type; and a line type decision unit (205) that finally decides the line types of the demarcation lines on the basis of the results of the probability computation unit.