Live Signal Adjustment for Movable Vehicle Mirror Camera
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Solution Overview
Problem
Modern vehicle mirrors with moveable cameras face challenges in providing stable and predictable exterior views to users due to complex motion and orientation changes during adjustment, leading to potential delays and inaccuracies in image display.
Innovation Solution
A system and method for live signal adjustment of a moveable camera, comprising an image module, rotation module, crop module, and display module, which receive rotation inputs, identify sensor data to determine cropping parameters based on the reflective surface's shape and position, and generate an adjusted cropped image for real-time display, compensating for camera movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera is moved to adjust the mirror's reflective surface position, then the mirror coverage is improved, but the image stability and predictability deteriorate
Solution Approach 1:
The system performs preliminary actions by capturing a raw image before mirror adjustment and predicting the future camera position and orientation after adjustment. This allows the system to pre-process the image cropping parameters in advance, ensuring stable and predictable image display during the transition from first position to second position.
Solution Approach 2:
The system dynamically adjusts the cropping parameters based on the predicted camera position and orientation. By making the cropping parameters dynamic rather than static, the system adapts to the camera's movement while maintaining image stability, resolving the contradiction between mirror adaptability and image composition stability.
2Loss of time
If live signal adjustment is implemented, then the image update timeliness is improved, but the processing complexity increases
Solution Approach 1:
The system replaces complex real-time mechanical signal processing with a computational approach. Instead of using complex hardware circuits for live signal adjustment, the system uses software-based image processing and prediction algorithms to achieve timely image updates while reducing hardware complexity.
Solution Approach 2:
The system creates a predicted copy of the future camera position and orientation to determine cropping parameters. By working with this predicted copy rather than waiting for actual real-time data, the system achieves timely image updates without the complexity of real-time sensor processing during adjustment.
3Measurement precision
If cropping parameters are adjusted in real-time, then the image accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary prediction of the camera's future position and orientation to determine cropping parameters in advance. This preliminary action allows the system to prepare accurate cropping parameters before the actual image display, ensuring image accuracy without adding processing time delays during the adjustment transition.
Data Source
AI summary
System and methods for live signal adjustment of a moveable camera are provided. In one embodiment, a method includes receiving a raw image associated with the moveable camera associated with a vehicle mirror. The method includes receiving a rotation input to change a position of a reflective surface of the vehicle mirror. The method includes identifying a first component of the second position of the reflective surface based on a first component sensor. The method includes identifying a second component of the second position of the reflective surface based on a second component sensor. The method includes determining cropping parameters based on a shape of the reflective surface, the first component, and the second component. The method includes generating an adjusted cropped image by cropping the raw image based on the cropping parameters. The method includes displaying the adjusted cropped image on a display in response to the rotation input.