Lane-Based ROI Adjustment for ADAS Camera Misalignment
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Solution Overview
Problem
Existing advanced driver-assistance systems (ADAS) in vehicles often fail to function properly due to the inadvertent movement of the camera, which changes the preset setup parameters and affects the region of interest (ROI), leading to vital information being outside the original ROI.
Innovation Solution
An in-vehicle electronic device dynamically adjusts the ROI by detecting lane lines, calculating vanishing points, and updating the ROI based on the detected slopes of lane line segments to ensure accurate alignment with the vehicle's lane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera is manually installed and setup parameters are preset, then the initial ROI can be established, but the ROI becomes misaligned when the camera is inadvertently moved
Solution Approach 1:
The system dynamically adjusts the ROI based on real-time detection of lane lines and calculation of vanishing points. Instead of using a static preset ROI, the ROI is continuously updated to adapt to camera position changes, ensuring it always contains the relevant lane information regardless of inadvertent camera movement.
Solution Approach 2:
The system uses feedback from detected lane line segments and calculated vanishing points to adjust the ROI. By continuously monitoring the lane structure in the captured images and comparing it with expected patterns, the system can detect camera position changes and automatically correct the ROI alignment through iterative adjustment.
2Ease of operation
If the ROI is adjusted manually after installation, then the setup parameters can be customized, but the adjustment becomes complex and time-consuming
Solution Approach 1:
The system performs automatic ROI adjustment without requiring manual intervention. By using image processing algorithms to detect lane lines and calculate vanishing points, the system self-adjusts the ROI parameters based on the actual road geometry captured in the images, eliminating the need for manual configuration and reducing setup time.
Solution Approach 2:
The system automatically changes ROI parameters (position, size, orientation) based on detected lane line characteristics and vanishing point calculations. Instead of manual parameter input, the system derives optimal ROI parameters from the image content itself, making the adjustment process both easier and faster.
3Ease of manufacture
If the preset setup parameters are used, then the initial system configuration is simple, but the ADAS cannot function properly when camera orientation changes
Solution Approach 1:
The system maintains simple initial configuration with preset parameters but adds dynamic adjustment capability. The ROI automatically adapts to camera orientation changes through real-time lane detection and vanishing point calculation, ensuring both ease of initial setup and continuous reliability of ADAS functionality.
Solution Approach 2:
The system performs preliminary detection of lane lines and calculation of vanishing points to establish the initial ROI configuration. This preliminary action creates a foundation that can then be automatically adjusted if camera orientation changes, maintaining both simple initial setup and ongoing functionality reliability.
Data Source
AI summary
A method for adjusting a region of interest (ROI) in a dynamic image is implemented by an in-vehicle electronic device installed on a vehicle. The method includes: for each of a first predetermined number of successive image frames, detecting a pair of lane line segments and an intersection point; using the first predetermined number of pairs of lane line segments and the first predetermined number of intersection points, determining a first vanishing point and a temporary ROI; for each of a second predetermined number of successive image frames, calculating a pair of slopes associated with the pair of lane line segments within the temporary ROI; obtaining a second vanishing point based on the second predetermined number of pairs of slopes; and in a case where the second vanishing point and the first vanishing point correspond with one another, storing the temporary ROI as an updated ROI.