Lane-Keeping Assistance Using Lateral Position and Drift Speed
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Solution Overview
Problem
Existing lane keeping assist systems for vehicles are not fully effective due to their failure to account for changing internal and external parameters, leading to ineffective correction actions during varying road conditions and increased system complexity when trying to estimate and compensate for these parameters.
Innovation Solution
A driving assistance device that determines input variables such as lateral position, lateral deviation speed, longitudinal speed, lane width, and vehicle width to develop a correction instruction, using a mapping approach or time-based calculations to adapt the correction action, and employs adaptive control mechanisms to limit complexity and avoid oscillations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system estimates all disturbing parameters to compensate for them, then the correction effectiveness is improved, but the system complexity increases considerably
Solution Approach 1:
The patent extracts only the essential input variables (lateral position, lateral deviation speed, and optionally longitudinal speed) needed for effective correction, rather than estimating all possible disturbing parameters. This selective approach maintains correction effectiveness while significantly reducing system complexity by focusing on the most impactful variables that a human driver naturally perceives.
Solution Approach 2:
The patent changes the approach from estimating multiple disturbing parameters to using a limited set of directly measurable input variables. By transforming the problem from parameter estimation to direct measurement and mapping of key variables, the system achieves reliable correction with reduced complexity.
2Adaptability or versatility
If the system uses multiple correctors and switchers to adapt correction action, then the adaptability to different conditions is improved, but the device complexity increases
Solution Approach 1:
The patent implements adaptability through a dynamic mapping that continuously adjusts correction instructions based on current input variables (lateral position, lateral deviation speed, longitudinal speed). Instead of using multiple static correctors, a single dynamic mapping adapts the correction action to various operating conditions, reducing complexity while maintaining versatility.
Solution Approach 2:
The patent creates a universal mapping structure that handles multiple operating conditions and scenarios through a single unified mechanism. This mapping can process different combinations of input variables and generate appropriate correction instructions for various situations, eliminating the need for multiple specialized correctors and switchers.
3Ease of manufacture
If the system calculates correction law based on fixed parameters, then the calculation simplicity is improved, but the correction effectiveness deteriorates due to parameter variations over time
Solution Approach 1:
The patent pre-establishes a mapping structure that contains correction instructions for various combinations of input variables. This preliminary preparation allows the system to quickly retrieve and apply appropriate correction actions without complex real-time calculations, maintaining both simplicity and effectiveness by having solutions ready in advance for different scenarios.
Solution Approach 2:
The patent implements continuous feedback by constantly monitoring the input variables (lateral position, lateral deviation speed, longitudinal speed) and using this real-time information to adjust the correction instructions through the mapping. This feedback mechanism ensures the correction remains effective despite parameter variations, while the mapping structure keeps calculations simple.
Data Source
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AI summary
This assistance device (1) for driving in a traffic lane (6) for a motor vehicle (4) includes a module (14) for determining at least one input variable chosen from among variables related to the vehicle and variables related to the traffic lane, a module for producing (20) a correction instruction (αijk) according to the input variable, and an assistance module (22) capable of implementing a driving assistance action according to the correction instruction (αijk). Said input variable includes a lateral position (y4/6) of the vehicle (4) in the traffic lane (6) and a lateral deflection speed (V4/6) of the vehicle (4).