Camera Wing Position Detection Using Lighting-Adaptive Image Processing
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Solution Overview
Problem
Existing camera monitor systems in commercial vehicles require additional sensors and wiring to automatically verify the position of camera wings, increasing cost and complexity.
Innovation Solution
A camera monitor system that uses image processing to verify the position of camera wings by capturing and comparing images under different lighting conditions, extracting reference features, and determining if the difference exceeds a threshold, without the need for additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a physical sensor is packaged within the camera wing to detect wing position, then the wing position can be automatically determined, but additional components and wiring are required which increases cost
Solution Approach 1:
The existing camera system performs dual functions: capturing images for the camera monitor system and detecting wing position through image processing. The camera serves both its primary purpose of providing visual feedback to the operator and the secondary function of monitoring wing position, eliminating the need for separate sensors and wiring
Solution Approach 2:
Instead of using a physical sensor to directly detect wing position, the system creates an optical copy (image) of the wing structure and processes this image data to determine position. The camera captures visual information that is then analyzed through image processing algorithms to infer wing position, replacing direct physical measurement with optical observation
2Device complexity
If image processing is used to verify camera wing position, then cost and complexity are reduced, but accurate detection under varying lighting conditions becomes challenging
Solution Approach 1:
The system performs preliminary calibration by capturing images at multiple known wing positions under various lighting conditions before actual operation. These pre-captured images serve as reference data that the system can compare against during normal operation, enabling reliable position detection across different lighting scenarios without requiring real-time lighting adjustments
Solution Approach 2:
The system changes the parameter of lighting conditions by capturing calibration images under multiple different lighting scenarios (different intensities, angles, and types of illumination). This allows the image processing algorithm to learn and adapt to various lighting environments, making the wing position detection robust against lighting variations during actual use
Data Source
AI summary
A method of checking wing position in a CMS includes performing a calibration of a wing position supporting a camera relative to a vehicle to provide a desired field of view by capturing multiple images at different lighting conditions, extracting and storing a reference feature from each of the multiple images, triggering a wing position check, capturing a current image from the camera having a current position of the reference feature; sensing a current lighting condition at which the current image is captured, determining that one of the different lighting conditions is more similar to the current lighting condition, comparing the current position of the reference feature to the stored reference feature from the one of the multiple images generated under the one of the different lighting conditions, and outputting a result of the wing position check if a difference from the comparing step exceeds a threshold value.