Lane Keep Assist System Using Dual Time to Lane Crossing Algorithms
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Solution Overview
Problem
Current vehicle imaging systems lack effective lane keeping assistance, often resulting in overshooting or overcorrection when maintaining lane position, due to limitations in predicting lane markings and adapting to varying driving conditions.
Innovation Solution
A lane keep assist system utilizing multiple cameras and image processing algorithms to determine time to lane crossing (TLC) and adjust steering torque based on lane view range and curvature, combining camera and vehicle sensor data for enhanced prediction and smoother control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single algorithm is used to determine Time to Lane Crossing (TLC), then the system is simpler, but the TLC estimation accuracy and steering control smoothness deteriorate
Solution Approach 1:
The patent divides the TLC determination process into two separate algorithms: a first algorithm that determines TLC based on lane marking prediction, and a second algorithm that determines TLC based on vehicle dynamics and road curvature. This segmentation allows each algorithm to specialize in different aspects of TLC estimation, improving overall accuracy while maintaining manageable complexity through modular design.
Solution Approach 2:
The patent merges the results from two different TLC algorithms by selecting the more reliable estimate based on current driving conditions. The system compares outputs from both algorithms and uses the one that provides better estimation under the current scenario, combining the strengths of different approaches to achieve superior TLC accuracy.
2Reliability
If steering adjustment is made without considering road curvature and lane view range, then the control system is simpler, but the lane keeping performance and overshooting prevention deteriorate
Solution Approach 1:
The patent performs preliminary determination of road curvature and lane view range before calculating the final steering adjustment. By pre-calculating these parameters based on current lane marking positions and vehicle state, the system prepares accurate input data for the TLC calculation, preventing overshooting and improving lane keeping reliability before the actual steering control is applied.
Solution Approach 2:
The system continuously monitors lane marking positions, vehicle state, and previously applied steering corrections to dynamically adjust the lane view range and curvature parameters. This feedback mechanism allows the control system to adapt to changing road conditions and maintain optimal performance without requiring overly complex predetermined control strategies.
Data Source
AI summary
A lane keep assist system for a vehicle includes a forward facing camera and an image processor. The forward facing camera is disposed at a vehicle and has a forward field of view exterior of the vehicle. The image processor is operable to process image data captured by the forward facing camera. The lane keep assist system is operable to process image data to determine lane markers in the field of view and to determine a time to lane crossing value. The lane keep assist system determines a first time to lane crossing value via a first algorithm and a second time to lane crossing value via a second algorithm. The lane keep assist system is operable to apply a steering signal to adjust the steering of the vehicle at least in part responsive to the determined first and second time to lane crossing values.