Automotive Lane Line Detection Reliability via Edge Intensity Distribution
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Solution Overview
Problem
Conventional image processors for automotive vehicles cannot accurately determine the reliability of lane line detection results, especially when factors other than weather, such as nighttime or obstruction by other vehicles, affect visibility.
Innovation Solution
An image processor that includes an imaging element, a traffic lane line detection element, a distance distribution calculation element for edge signal intensity, and a detection reliability calculation element, which determines the reliability of lane line detection based on the distance distribution of edge signal intensity without using straight line approximation, and optionally calculates a detectable edge distance based on threshold intensity or change in signal intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If straight line approximation method is used to estimate environment, then weather-related visibility reduction can be detected, but reliability reduction caused by other factors (nighttime, obstruction) cannot be accurately determined
Solution Approach 1:
The patent segments the distance distribution analysis into multiple components: (1) straight line approximation for weather-related unsharpness, and (2) distance distribution of edge signal intensity for overall detection reliability. This segmentation allows separate evaluation of weather factors versus other factors affecting detection reliability.
Solution Approach 2:
The patent adds a new dimension to the analysis by introducing edge signal intensity as a separate measurement criterion alongside the traditional straight line approximation. This creates a multi-dimensional evaluation system where both weather-related and non-weather-related reliability issues can be detected.
2Device complexity
If distance distribution is approximated by straight line, then processing is simplified, but false detection may occur when part of white line is not captured
Solution Approach 1:
The patent performs preliminary analysis of the distance distribution of edge signal intensity before final detection. By examining the distribution characteristics in advance, the system can identify areas where the white line is not captured, preventing false detections while maintaining processing efficiency.
Solution Approach 2:
The system uses the distance distribution of edge signal intensity as feedback to verify detection results. When the distribution shows anomalies (such as gaps where white line should be), the system can correct or reject false detections, improving overall reliability without significantly increasing complexity.
Data Source
AI summary
An image processor for an automotive vehicle includes: an imaging element for capturing an image of a road; a traffic lane line detection element for detecting a position of a traffic lane line by determining an edge of the traffic lane line; a distance distribution calculation element for calculating a distance distribution of an edge intensity corresponding to a distance to the traffic lane line from the imaging element; and a detection reliability calculation element for calculating a degree of reliability of detection of the traffic lane line on the basis of the distance distribution of the edge intensity of the traffic lane line.