Vehicle Calibration Support With Image-Guided Auto Alignment
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Solution Overview
Problem
Current calibration methods for vehicle sensors in ADAS systems are inaccurate and inefficient due to manual alignment and adjustment of calibration supports, leading to potential errors and complex operations.
Innovation Solution
A calibration support system with an image acquisition device, processing device, and control device that automatically adjusts the position of the calibration element relative to the vehicle by analyzing images and issuing control signals to move the support body into precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual positioning and visual observation are used to align the calibration support, then the operator can perform the calibration operation, but the accuracy is low and the operation is complex
Solution Approach 1:
The patent replaces the manual mechanical positioning system with an automated image processing and control system. The image acquisition device captures images of the vehicle, the processing device analyzes the images to determine vehicle position and orientation, and the control device automatically adjusts the calibration support position, eliminating manual visual observation and complex operator adjustments
Solution Approach 2:
The system performs self-alignment by automatically capturing images, processing the image data to determine vehicle parameters, and adjusting its own position without external intervention. The calibration support system serves itself by integrating the image acquisition, processing, and control functions into an autonomous operation sequence
2Productivity
If manual adjustment of the calibration support is performed, then the calibration operation can be completed, but the working efficiency is low due to back-and-forth adjustments
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated control system that directly drives the calibration support to the correct position based on image processing results, eliminating the iterative back-and-forth adjustment process and significantly reducing calibration time
Solution Approach 2:
The system uses image acquisition and processing to continuously monitor the relative position between the calibration support and the vehicle, providing feedback to the control device which then makes precise adjustments. This closed-loop feedback mechanism ensures accurate positioning in a single operation rather than through repeated adjustments
Data Source
AI summary
A calibration support includes a support body (100) configured to mount a calibration element, the calibration element being configured to calibrate a driving assistance system of a vehicle (500); an image acquisition device (200) connected to the support body (100) and configured to acquire an image of the vehicle (500); a processing device (300) provided on the support body (100), electrically connected to the image acquisition device (200), and configured to calculate, according to the image acquired by the image acquisition device (200), the movement position of the support body (100) relative to the vehicle (500) and output a control signal comprising the movement position; and a control device (400) provided on the support body (100), electrically connected to the processing device (300), and configured to receive the control signal and control the support body (100) to move.