Lane Marking Analysis Using Fourier Spectrum Segmentation
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Solution Overview
Problem
Current navigation systems and driver assistance systems face challenges in accurately detecting and updating lane divider markings, which are essential for route guidance and safe navigation, as they often fail to reliably identify changes in lane types and configurations, leading to incomplete or outdated road mapping databases and inadequate feedback in Advanced Driver Assistance Systems (ADAS).
Innovation Solution
A method that involves obtaining and preprocessing image data from cameras, dividing it into overlapping target segments, and using Fourier analysis to determine the type of lane divider markings, allowing for the detection of changes in lane types and configurations, which can be used to update road mapping databases and provide real-time feedback in ADAS systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fourier analysis is used to identify lane boundary types, then measurement precision of lane marking types is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent segments the lane marking detection process into distinct phases: edge detection using filters, Fourier analysis for pattern recognition, and classification of lane boundary types. This segmentation allows each component to be optimized independently, maintaining high measurement precision while managing algorithm complexity through modular processing steps.
2Speed
If real-time lane marking detection is implemented, then responsiveness and feedback timeliness are improved, but processing speed and computational load increase
Solution Approach 1:
The system performs preliminary edge detection and filtering operations before full Fourier analysis, pre-processing the image data to extract only relevant features. This preliminary action reduces the computational burden of subsequent real-time analysis, enabling responsive detection while managing energy consumption through staged processing.
3Reliability
If comprehensive lane marking analysis is performed, then reliability of road mapping database updates is improved, but processing time and system complexity increase
Solution Approach 1:
The patent applies different analysis depths to different regions of interest: full Fourier analysis is applied only to detected edge segments that require classification, while other areas receive simplified processing. This local quality approach ensures high reliability for critical lane marking updates while reducing overall processing time through selective detailed analysis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate detection of lane divider marking changes, enhancing the accuracy of road mapping databases and providing timely feedback to drivers, thereby improving navigation and safety in dynamic road environments.
Implementation Method 1
using Fourier analysis to determine the type of lane divider markings
Data Source
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AI summary
Embodiments of the present invention provide a method of determining a location at which a lane divider marking changes type, comprising determining (350) a first type of lane divider (120) marking based upon a frequency spectrum determined by Fourier analysis of first image data (431) corresponding to a first area, determining (350) a second type of lane divider (130) marking based upon a frequency spectrum determined by Fourier analysis of second image data (432) corresponding to a second area, and determining (360) a geographic location at which the lane divider marking changes type according to a comparison of the first and second types (120, 130) of lane divider marking.