Vehicle Lane Guidance Using Map Curvature and Lateral Offset
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Solution Overview
Problem
Existing vehicle navigation systems face challenges in accurately detecting lane markings, especially under conditions of insufficient pixel information, occlusion, brightness changes, and adverse weather, which affects vehicle control and route determination.
Innovation Solution
A method that classifies objects in a driving image, generates a segmentation image, and detects the lane region, while determining curvature information based on map waypoints and estimating lateral offset using polynomial fitting scores, to provide stable and accurate driving information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional lane detection methods are used, then the system is simple to operate, but detection accuracy deteriorates under challenging conditions such as insufficient pixel information, occlusion, brightness changes, and adverse weather
Solution Approach 1:
The patent segments the lane detection task into multiple components: detecting lane regions, determining curvature information from map data, estimating lateral offsets, and generating reference lines. This segmentation allows each component to be optimized independently, improving overall detection accuracy while managing system complexity through modular processing
Solution Approach 2:
The patent performs preliminary actions by pre-determining curvature information from map waypoints before actual lane detection. This pre-computed curvature data is then used to generate reference lines that guide the detection process, enabling more accurate lane marking detection under challenging conditions without requiring complex real-time processing
2Measurement precision
If polynomial fitting scores are used to estimate lateral offset, then estimation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies polynomial fitting scores as a partial enhancement to lateral offset estimation. Rather than using complex full-scale computational methods, the system selectively applies polynomial fitting to refine offset estimates only where needed, achieving improved accuracy while limiting the increase in computational power requirements
Data Source
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AI summary
Disclosed is a method and apparatus for providing information for driving of a vehicle, the method includes detecting a lane region including lane demarcation lines from a driving image, determining curvature information of a road on which a vehicle is driving based on map information, estimating a lateral offset of the vehicle based on the detected lane region and a reference line having the curvature information, and outputting a signal including information for driving the vehicle based on the curvature information and the lateral offset.