Vehicle Camera Alignment Check Using Reference Image Comparison
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Solution Overview
Problem
Conventional methods for aligning vehicle cameras are time-consuming, expensive, and inefficient, leading to incorrect camera positioning that renders calibration algorithms ineffective and increases operational costs.
Innovation Solution
A method and system for determining camera alignment deviation by comparing images captured by the camera with reference images generated from CAD models, using a control unit to estimate alignment and indicate deviations through visual or audio feedback, allowing for corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional magnetic and/or optical trackers are used for determining camera position, then measurement precision is improved, but loss of time and device complexity increase
Solution Approach 1:
The patent uses a simplified 2D image capture approach instead of complex 3D tracking systems. By capturing images of the camera module's position relative to the vehicle body and comparing with reference images, the system achieves accurate positioning without requiring expensive and time-consuming magnetic or optical trackers.
Solution Approach 2:
The patent replaces mechanical tracking systems (magnetic/optical trackers) with an image-based computational method. The control unit processes images captured by the camera module and determines position through image analysis algorithms, eliminating the need for physical tracking hardware and reducing both time and complexity.
2Productivity
If calibration algorithm is run before correct camera alignment, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent performs alignment verification as a preliminary step before running the calibration algorithm. The control unit compares captured images with reference images to determine if the camera module is correctly aligned, and only proceeds with calibration when alignment is confirmed, preventing wasted calibration attempts on misaligned cameras.
Solution Approach 2:
The system provides feedback to the technician about camera alignment status by comparing captured images with reference images. This feedback mechanism ensures that calibration is only performed when alignment requirements are met, maintaining manufacturing precision while improving overall process efficiency.
3Measurement precision
If camera alignment is checked with high precision, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent uses simple 2D image captures as copies of the camera module's position and orientation relative to the vehicle body. By comparing these image copies with reference images, the system achieves precise alignment measurement without requiring complex 3D sensing equipment or multiple cameras.
Solution Approach 2:
The patent replaces complex mechanical alignment measurement systems with image processing and computational analysis. The control unit uses software algorithms to analyze captured images and determine alignment deviation, significantly reducing hardware complexity while maintaining or improving measurement precision.
Data Source
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AI summary
A method for determining deviation in alignment of a camera in a vehicle is disclosed. The method includes receiving by a control unit, images captured from the camera positioned in a slot defined in the vehicle. The images received from the camera are compared with one or more reference images corresponding to the camera. Deviation in a body portion 2a of vehicle visible in the images 2 received from the camera from the body portion 1a of the vehicle visible in one or more reference image 1 is determined. Based on the comparison, the control unit, indicates the deviation in the alignment of the camera.