Around-view Image Control Device for Automatic Mismatch Correction
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Solution Overview
Problem
Existing around-view image control systems face challenges in correcting image mismatching without space, time, or place restrictions, making it difficult to automate the correction process and update images accurately, which can lead to distorted borders and potential accidents due to misjudgment by drivers.
Innovation Solution
An around-view image control device and method that generates and corrects synthesized image signals using information from multiple cameras, allowing for automatic correction and updating without spatial, temporal, or locational constraints, enabling easy image updating and selection between original and corrected signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If correction pattern is placed on ground and measured value is obtained while vehicle travels, then correction operation can be performed, but wide space is required and automation is difficult
Solution Approach 1:
The system performs self-diagnosis and self-correction by automatically detecting image mismatching and executing correction operations without requiring external correction patterns or manual intervention. The control device uses the vehicle's own camera system to identify and correct matching errors, eliminating the need for external correction tools and wide space.
Solution Approach 2:
The patent replaces the mechanical approach of placing physical correction patterns on the ground with an automated digital image processing system. The control device processes images from multiple cameras, automatically detects mismatching, and performs correction through software algorithms, substituting mechanical correction methods with electronic automation.
2Ease of operation
If correction operation is performed at service center, then accurate correction can be achieved, but driver convenience is reduced and time is lost
Solution Approach 1:
The system enables drivers to perform correction operations themselves at any time and location through automatic detection and correction functions. The control device continuously monitors image matching quality and automatically executes correction when needed, eliminating the requirement for service center visits while maintaining correction accuracy through automated algorithms.
Solution Approach 2:
The system performs correction operations continuously during normal vehicle operation rather than requiring dedicated service center time. The control device processes images in real-time and executes corrections seamlessly during driving, making the correction process continuous and integrated into normal vehicle use.
3Measurement precision
If multiple cameras are used to generate synthesized image, then around-view image quality is improved, but image mismatching occurs due to external factors
Solution Approach 1:
The control device continuously monitors the matching quality of images from multiple cameras and provides feedback to detect when mismatching occurs. The system compares images in real-time, identifies deviations caused by external factors such as vehicle vibration or camera displacement, and triggers automatic correction when mismatching exceeds predetermined thresholds.
Solution Approach 2:
The system dynamically adjusts matching parameters and correction algorithms based on detected image quality and environmental conditions. When external factors cause mismatching, the control device modifies processing parameters to compensate for changes in camera positions or environmental conditions, maintaining reliable image matching despite varying operating conditions.
Data Source
AI summary
An around-view image processing method comprises: generating a first around-view image signal obtained by image synthesis using image information acquired from a plurality of cameras; generating a second around-view image signal obtained by image correction using image information acquired from the plurality of cameras over a predetermined period of time; and outputting the second around-view image signal or outputting the first around-view and second around-view image signals. When the first around-view and second around-view image signals are output, the around-view image processing method may further comprise selecting one image signal from the first around-view and second around-view image signals, and outputting the image signal selected from the first around-view and second around-view image signals.