Vehicle Camera Luminance Correction for Windshield Reflection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging apparatuses in vehicles face challenges in accurately capturing images due to redundant light from dashboard and windshield components, leading to excessive luminance and blurring, which complicates object recognition and image processing.
Innovation Solution
The proposed solution involves an imaging apparatus with a front monitor camera and a surrounding monitor camera, where the common region identifier and difference calculator determine the luminance difference between overlapping image regions, allowing for adjustments to the front monitor camera's luminance and imaging parameters to reduce the influence of peripheral components and correct for windshield fogging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the front monitor camera captures images through the windshield, then the camera can monitor the region in front of the vehicle, but redundant light reflected from the dashboard and windshield causes excessive luminance and blurring in the captured images
Solution Approach 1:
The image processing function is segmented into multiple operations: identifying common regions between front and surrounding images, calculating luminance differences in these regions, and applying targeted luminance adjustment only to affected areas. This segmentation allows precise correction of redundant light effects without processing the entire image, improving efficiency and accuracy.
Solution Approach 2:
The system uses the surrounding monitor camera as a reference to provide feedback about the actual external scene luminance. By comparing this reference image with the front monitor camera image, the system calculates the luminance difference caused by dashboard reflections and applies corrective adjustments, creating a closed-loop feedback mechanism for image quality control.
2Measurement precision
If the control unit performs luminance correction based on illuminance sensor data, then the luminance of reflected light regions can be reduced, but the correction accuracy is insufficient when dashboard reflection affects only specific regions of the image
Solution Approach 1:
Instead of applying uniform luminance correction to the entire image, the system identifies specific common regions where dashboard reflection occurs and applies luminance adjustment only to these localized areas. The luminance correction is calculated specifically for the common region between front and surrounding images, ensuring precise local correction without unnecessarily processing the whole image.
Solution Approach 2:
The system performs partial action by applying luminance correction only to the extent necessary - specifically to the common region where dashboard reflection is detected. Rather than correcting the entire image or using excessive correction based on overall illuminance sensor data, the system applies just enough correction to the affected region, improving accuracy while reducing complexity.
3Adaptability or versatility
If the front monitor camera is positioned inside the vehicle, then it can capture images of the region in front of the vehicle, but peripheral components like the dashboard interfere with image quality
Solution Approach 1:
The surrounding monitor camera serves as an intermediary reference device that captures the external scene without being affected by dashboard reflections. By using this intermediary image as a reference, the system can indirectly measure and correct the luminance effects caused by peripheral components, allowing the front monitor camera to maintain its flexible interior positioning while achieving high image quality through computational correction.
Data Source
AI summary
In an imaging apparatus, a common region identifier identifies a common region of each of a first image captured by a front monitor camera and a second image captured by a surrounding monitor camera. A difference calculator calculates a target luminance difference between the common region of the first image and the common region of the second image. A luminance adjuster performs, based on the target luminance difference, at least one of (i) a first adjustment of adjusting a luminance of the first image and (ii) a second adjustment of adjusting the at least one imaging parameter of the front monitor camera.