Dynamic Rearview Mirror Brightness Adjustment via Virtual Sky Scene
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Solution Overview
Problem
Existing vehicle rearview mirror systems face challenges in accurately calibrating camera positions and adjusting brightness for dynamic rearview mirror displays, particularly in graphic overlay applications, which can lead to distorted images and require expensive automatic sensing systems.
Innovation Solution
A vehicle imaging system that captures exterior images, generates a virtual sky scene, and dynamically adjusts brightness based on illumination intensity, using a processor to overlay vehicle components and apply brightness adjustments for enhanced image display without radial distortion correction, employing a non-planar imaging surface for effective surround view and dynamic rearview mirror functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual dimming function is used for rearview mirror, then device complexity is reduced, but ease of operation deteriorates as operator intervention is required
Solution Approach 1:
The system uses the existing image capture device to automatically determine scene brightness and adjust rearview mirror display brightness without requiring external sensors or manual intervention. The processor analyzes the captured image to detect brightness levels and automatically adjusts the display, making the system self-sufficient and eliminating the need for additional components.
2Ease of operation
If automatic sensing system is added for brightness detection, then ease of operation improves, but device complexity and cost increase
Solution Approach 1:
The image capture device serves dual purposes: capturing the rearview scene and detecting scene brightness for automatic dimming control. By making the image capture device multi-functional, the system eliminates the need for separate brightness sensors while maintaining automatic brightness adjustment capability, thereby reducing device complexity and cost.
Solution Approach 2:
Instead of using a physical brightness sensor, the system creates a virtual brightness measurement by analyzing the digital image data captured by the image capture device. The processor extracts brightness information from the image pixels, effectively copying the brightness detection function from a physical sensor to a digital image analysis process.
3Manufacturing precision
If camera modeling with radial distortion correction is applied, then manufacturing precision improves, but device complexity increases
Solution Approach 1:
The system applies selective distortion correction only to the extent necessary for the rearview mirror application. Rather than implementing full radial distortion correction for all image processing tasks, the system applies correction specifically to the region of interest in the captured image, reducing processing complexity while maintaining sufficient image accuracy for the intended use.
Data Source
AI summary
A vehicle imaging system includes an image capture device capturing an image exterior of a vehicle. The captured image includes at least a portion of a sky scene. A processor generates a virtual image of a virtual sky scene from the portion of the sky scene captured by the image capture device. The processor determines a brightness of the virtual sky scene from the virtual image. The processor dynamically adjusts a brightness of the captured image based the determined brightness of the virtual image. A rear view mirror display device displays the adjusted captured image.