Lane Tracking Control Using Road-Condition Reliability Assessment
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Solution Overview
Problem
Existing vehicle travel control systems face challenges in accurately maintaining lane position when encountering uneven road surfaces or specific road structures like tunnels, curved roads, or branch roads, leading to decreased recognition accuracy of lane division lines by vehicle-mounted cameras, which can cause swerving and require manual driver intervention.
Innovation Solution
A vehicle travel control apparatus that includes a sensor to capture images of the lane division line and an electronic control unit with a microprocessor to assess the reliability of the lane position information based on road surface conditions and structures, adjusting control accordingly to prevent swerving by invalidating the camera image when significant undulations or specific road conditions are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle travel control system uses camera-based division line detection for lane keeping control, then the system can achieve automated lane tracking and reduce manual driver intervention, but the recognition accuracy decreases when encountering road surface undulations or specific road structures such as tunnels, curved roads, or branch roads
Solution Approach 1:
The system dynamically adjusts the trust level of camera-based division line detection based on real-time road condition assessment. When road surface undulations or specific road structures are detected, the system automatically reduces reliance on camera data and switches to alternative control strategies, thereby maintaining automation while adapting to varying measurement conditions
Solution Approach 2:
The system introduces an intermediary road condition assessment mechanism that evaluates the reliability of camera-based division line detection. This intermediary layer determines when to trust camera data and when to switch to alternative methods, resolving the contradiction between maintaining automation and ensuring measurement precision under varying road conditions
2Duration of action of stationary object
If the system continues to use camera image data for lane tracking on roads with significant undulations or specific structures, then continuous automated control is maintained, but vehicle swerving occurs due to inaccurate division line position information
Solution Approach 1:
The system performs preliminary assessment of road conditions before relying on camera-based division line detection. By detecting road surface undulations and specific road structures in advance, the system prevents the use of unreliable camera data that would cause swerving, thereby maintaining continuous automated control with high reliability
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor road conditions and adjust the trust level of camera data accordingly. When road conditions deteriorate to levels that would cause inaccurate division line detection, the system automatically reduces reliance on camera data, preventing swerving while maintaining continuous automated control
Data Source
AI summary
A vehicle travel control apparatus configured to control a traveling operation of a vehicle including an actuator for traveling, the vehicle travel control apparatus including a sensor mounted on the vehicle to capture an image of a division line in a traveling direction of the vehicle or measure the division line and an electronic control unit including a microprocessor. The microprocessor is configured to perform controlling the actuator based on a position information of the division line obtained by the sensor and a reliability with respect to the position information of the division line obtained by the sensor, and setting the reliability based on a shape of a road surface or a road structure in the traveling direction of the vehicle.