Vehicle Lane Control Under Uncertain Lane Detection
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Solution Overview
Problem
Existing vehicle controllers face difficulties in accurately detecting travel lanes, particularly when lane-dividing lines are blurred, leading to potential omission of necessary vehicle control.
Innovation Solution
A vehicle controller that compares sensor signals with a road map to detect the travel lane, determines if the detected lane's position differs from the actual position, and executes appropriate control based on this determination, either omitting or executing control depending on the accuracy of the detection and map information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle controller relies solely on sensor signals and map data to detect the travel lane, then the detection process is simple and fast, but the detection accuracy deteriorates when lane-dividing lines are blurred or road conditions change
Solution Approach 1:
The vehicle controller pre-acquires road construction information, map update timestamps, and trajectory data before making lane detection decisions. By preparing these reference data in advance, the system can quickly compare them against current sensor readings to identify potential detection errors without adding complex real-time processing steps
Solution Approach 2:
The system introduces multiple intermediary indicators (road construction information, map update status, trajectory consistency) that mediate between raw sensor data and final lane detection results. These intermediaries help verify detection accuracy without requiring direct complex analysis of blurred lane markings
2Speed
If the vehicle controller executes control based on detected lane position, then the response is timely, but incorrect control may be executed when lane detection is inaccurate
Solution Approach 1:
The vehicle controller performs preliminary verification checks using road construction information, map update timestamps, and trajectory data before executing lane-based control. This preliminary anti-action prevents incorrect control execution by identifying potential detection errors in advance, while maintaining quick response when verification passes
Solution Approach 2:
The system cushions against potential detection errors by comparing multiple independent indicators (sensor data, map data, trajectory consistency) before control execution. This multi-layer verification acts as a safety cushion that prevents incorrect control while allowing timely correct control
3Reliability
If the vehicle controller uses multiple verification methods to improve detection accuracy, then detection reliability improves, but the processing time and computational load increase
Solution Approach 1:
The vehicle controller applies verification methods selectively rather than always. When road construction information is available or map updates are recent, the system performs additional verification checks. This partial application of verification maintains high reliability when needed while reducing processing time during normal conditions
Data Source
AI summary
A vehicle controller includes a processor configured to detect a lane on which a vehicle is traveling, determine whether the position of the detected lane relative to an edge of a road being traveled by the vehicle may differ from an actual position, identify first control of the vehicle required to execute on the detected lane and second control of the vehicle required to execute on an adjoining lane adjoining the detected lane, omit to execute the first control when the position of the detected lane may differ from the actual position and the first control is prohibited on the adjoining lane, and execute the second control when the position of the detected lane may differ from the actual position and the second control exists.