ADAS Camera Alignment Review After Windscreen Replacement
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Solution Overview
Problem
ADAS cameras in vehicles experience misalignment due to the tolerance in windscreen replacement, particularly in pitch, yaw, and roll, which is not accurately detected by existing methods.
Innovation Solution
A method and system using an illuminating radiation delivery device to capture and compare spectral reflection profiles from the ADAS camera lens before and after windscreen replacement, allowing for the determination of pitch, yaw, and roll accuracy through imaging and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a replacement windscreen is fitted using adhesive compound, then the windscreen can be replaced, but the camera position accuracy deteriorates due to tolerance variation in pitch, yaw, and roll
Solution Approach 1:
The patent changes the measurement parameter from simple geometric positioning to spectral reflection analysis. By using spectral imaging to detect the reflection pattern from the camera lens, the system can precisely determine camera orientation (pitch, yaw, roll) without being affected by the mechanical tolerance of adhesive bonding. This allows accurate detection of camera position changes despite the inherent imprecision in windscreen replacement.
2Device complexity
If traditional alignment methods are used, then the process is simple, but the detection precision of camera misalignment deteriorates
Solution Approach 1:
The patent replaces mechanical alignment measurement methods with optical-spectral measurement. Instead of using physical tools to measure camera position, the system uses spectral imaging to capture the reflection pattern from the camera lens. This substitution enables precise measurement of angular parameters (pitch, yaw, roll) while maintaining a relatively simple implementation through spectral camera technology.
3Adaptability or versatility
If the camera is transferred to a new windscreen, then the ADAS system can continue to be used, but the camera alignment accuracy deteriorates due to tolerance variation
Solution Approach 1:
The patent implements a feedback mechanism by capturing the spectral reflection pattern from the camera lens and comparing it against reference patterns or tolerance thresholds. This feedback allows the system to automatically detect whether the camera alignment is within acceptable parameters after windscreen replacement, enabling quality control without requiring complex manual measurement processes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise alignment and calibration of ADAS cameras post-windscreen replacement by accurately measuring pitch, yaw, and roll, ensuring optimal camera positioning and functionality.
Implementation Method 1
the spectral reflection profile from the DAC is imaged and compared to a datum spectral reflection profile (SRP)
Data Source
AI summary
A technique for investigating the accuracy of fitment for a vehicle replacement windscreen having a mounted driver assistance camera (DAC) utilises an illuminating radiation delivery device and a spectral reflection profile from the DAC is imaged and compared to a datum spectral reflection profile (SRP). The datum spectral reflection profile may result from a DAC fitted to the windscreen before replacement. A first spectral reflection profile may imaged with DAC in position on a damaged windscreen fitted to the vehicle and a second spectral reflection profile is imaged with DAC in position on the replacement windscreen fitted to the vehicle.