Lane Keeping Control Error Detection via Vehicle State Correlation
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Solution Overview
Problem
Conventional lane keeping systems are prone to erroneous control due to degraded lane recognition performance from varying road environments and climate conditions, leading to potential accidents and hindering widespread adoption.
Innovation Solution
A system that generates lane parameters and analyzes time flow-related correlations between camera-acquired lane data and vehicle state information to determine erroneous detection, using an equivalent model to classify errors and adjust torque control factors to mitigate erroneous torque influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lane recognition is performed using camera-based systems, then lane keeping control can be implemented, but the system becomes vulnerable to erroneous detection under varying road environments and climate conditions
Solution Approach 1:
The system establishes equivalent models that represent normal vehicle behavior patterns and continuously compares actual vehicle state information against these models. When deviations exceed threshold values, the system identifies erroneous lane parameter detection and adjusts torque control factors accordingly, creating a closed-loop feedback mechanism that maintains reliability despite environmental variations
Solution Approach 2:
The patent introduces vehicle state information (acceleration, yaw rate, steering angle) as an intermediary element to verify lane parameter accuracy. Instead of directly trusting camera-based lane detection, the system uses vehicle dynamic responses as a mediator to cross-validate lane parameter correctness, filtering out erroneous detections caused by environmental factors
2Ease of operation
If torque control factors are applied based on lane parameters, then lane keeping assistance is provided, but erroneous torque may be applied when lane data is abnormal
Solution Approach 1:
The system performs preliminary verification of lane parameter accuracy by comparing vehicle state information against equivalent models before applying torque control. This advance checking prevents erroneous torque application by identifying detection errors in advance, allowing the system to adjust torque control factors or disable assistance when lane data is determined to be abnormal
Data Source
AI summary
A lane keeping control system includes: a lane parameter generation unit configured to generate a relative position between a lane and a vehicle as a lane parameter based on information received from a camera installed on the vehicle; a vehicle state information reception unit configured to receive vehicle state information sensed or measured by each vehicle sensor or device installed on the vehicle; an equivalent model generation unit configured to receive the lane parameter from the lane parameter generation unit, receive the vehicle state information from the vehicle state information reception unit, analyze a time flow-related correlation between the vehicle parameter and the vehicle state information, and generate an equivalent model of each; an erroneous detection determination unit configured to determine and classify a situation of erroneous detection of a lane parameter by simultaneously analyzing a case.


