Headlight Range Alignment via Optical Cut-off Line Detection
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Solution Overview
Problem
Existing headlight adjustment systems in vehicles often suffer from misalignment due to aging and wear, which can lead to inadequate illumination for drivers and potential blinding of other road users, necessitating frequent and reliable calibration.
Innovation Solution
A method utilizing an optical sensor, such as a camera, to detect and correct headlight misalignment by analyzing the cut-off line in the headlight's illuminated area, allowing for autonomous and precise adjustment of headlight range alignment, potentially eliminating the need for initial calibration during production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If headlight calibration is performed manually during production and inspections, then initial alignment can be achieved, but frequent recalibration is required due to aging and wear, increasing loss of time and reducing productivity
Solution Approach 1:
The system performs automatic self-calibration by capturing images of the headlight beam pattern, detecting the cut-off line position, and adjusting the headlight alignment without external intervention. This eliminates the need for manual calibration during production and inspections, reducing calibration time while maintaining reliability through continuous autonomous monitoring and adjustment
Solution Approach 2:
The system performs preliminary calibration during production by capturing images and detecting cut-off lines before the vehicle is delivered to customers. This preliminary action establishes baseline alignment data that enables subsequent automatic self-calibration, reducing the need for frequent manual recalibration throughout the vehicle's operational life
2Manufacturing precision
If manual headlight calibration is performed during production, then initial alignment can be achieved, but the process is complex and time-consuming, reducing manufacturing efficiency
Solution Approach 1:
The system replaces manual mechanical calibration procedures with an automated optical measurement system that captures images of the headlight beam pattern and uses image processing algorithms to detect cut-off line positions. This substitution eliminates time-consuming manual adjustments while maintaining high alignment precision through automated detection and control
Solution Approach 2:
The system creates a digital copy of the headlight beam pattern by capturing images with a camera or optical sensor. This optical copy is then processed through image analysis to determine cut-off line positions and alignment status, replacing the need for physical measurement tools and manual assessment while improving both precision and production efficiency
3Productivity
If headlight alignment is not frequently checked, then production and operation are faster, but misalignment due to aging and wear can occur, reducing safety and reliability
Solution Approach 1:
The system continuously monitors headlight alignment by capturing images of the beam pattern, detecting cut-off line positions, and comparing them against reference values. This feedback loop enables real-time detection of alignment deviations caused by aging and wear, triggering automatic recalibration to maintain reliability without interrupting normal operations
Solution Approach 2:
The system performs continuous or periodic alignment monitoring and automatic recalibration during vehicle operation or idle periods. This continuous useful action ensures that headlight alignment is maintained throughout the vehicle's life without requiring frequent manual interventions, balancing operational speed with sustained reliability
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
This approach enhances vehicle safety by enabling frequent, automatic headlight recalibration during operation, improving both safety and economic production by reducing the need for initial calibration and ensuring accurate headlight alignment.
Implementation Method 1
an optical sensor, which is designed for detecting at least one part of a first illuminated area of the first headlight and generating a first image having the part of the first illuminated area
Data Source
AI summary
A method for determining a headlight range alignment of at least one first headlight of a motor vehicle. The motor vehicle includes at least one optical sensor which is designed for detecting at least one part of a first illuminated area of the first headlight and generating a first image having the part of the first illuminated area. The method includes the following steps: reading in the first image from the optical sensor, selecting at least one first image area in the first image, whereby a cut-off line of the first headlight is intended to be imaged in the first image area, and determining the headlight range alignment as a function of the first image area.