Dynamic Camera Parameter Adjustment for ADAS Image Clarity
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Solution Overview
Problem
Conventional ADAS systems face challenges in accurately identifying road conditions due to fixed camera parameters, leading to overexposed or underexposed images in varying lighting conditions, which can result in failure to detect threats and risks, potentially causing accidents.
Innovation Solution
A system that dynamically adjusts camera parameters by selecting a region of interest, configuring brightness weights, performing contour analysis, and applying a multi-layer progressive sharpening process to enhance image brightness and sharpening, allowing for real-time adaptation to different lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed camera parameters are used, then device complexity is reduced, but image quality deteriorates under varying lighting conditions
Solution Approach 1:
The patent implements dynamic camera parameter adjustment by continuously monitoring lighting conditions and automatically modifying exposure time, gain, and other parameters in real-time, transforming the static camera system into an adaptive one that responds to environmental changes
Solution Approach 2:
The system changes camera parameters such as exposure time, gain, and white balance based on detected lighting conditions, allowing the camera to adapt to different environments (dark, bright, backlight) while maintaining image quality without increasing physical complexity
2Ease of operation
If fixed camera parameters are used, then ease of operation is improved, but adaptability to different lighting conditions deteriorates
Solution Approach 1:
The camera system performs self-adjustment by automatically detecting lighting conditions and modifying its own parameters without user intervention, making the system both easy to operate and highly adaptable to different environments
Solution Approach 2:
The system incorporates feedback mechanisms where image quality metrics are continuously monitored and used to adjust camera parameters, creating a closed-loop control system that maintains optimal performance across varying conditions
3Manufacturing precision
If conventional image processing is applied, then image sharpness is improved, but brightness adjustment capability deteriorates
Solution Approach 1:
The patent combines multiple image processing functions (brightness adjustment, contrast enhancement, sharpness improvement) into a unified processing pipeline, allowing simultaneous optimization of both brightness and sharpness rather than treating them as separate conflicting objectives
Data Source
AI summary
A method for image-based dynamic feature enhancement includes: using the camera to capture multiple images, selecting an ROI from each of the multiple images displayed on the camera through the ROI selection unit, configuring multiple brightness weights to correspond to the ROI, adjusting brightness of the image according to the multiple brightness weights and multiple actual brightness values corresponding to the ROI, and performing a multi-layer progressive sharpening process to adjust multiple actual sharpening parameters of the image through the sharpening adjustment unit. The camera parameters of the camera can be directly and instantly adjusted to improve brightness and sharpening of images captured by the camera and facilitate advanced driver assistance system to clearly identify road conditions.