Pixel Headlamp Simulation via Virtual Sensor Copying
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Solution Overview
Problem
Current simulation methods for pixel headlamp systems fail to accurately account for external environmental influences and vehicle-specific factors, leading to inaccurate light distribution calculations and increased risk of road traffic accidents, particularly with glare-free high beam functionality.
Innovation Solution
A method involving a virtual driving scenario simulation where a virtual motor vehicle with a pixel headlamp and surroundings sensor records and analyzes data to dynamically adjust light intensities of discrete pixels based on predefined illumination rules, accounting for environmental and vehicle-specific features to achieve a realistic and safe light distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional simulation methods are used for pixel headlamp systems, then the simulation process is simpler, but the accuracy of light distribution calculations is insufficient and external environmental influences are not accounted for
Solution Approach 1:
The patent creates a virtual copy of the entire driving scenario including the virtual motor vehicle, virtual pixel headlamp, virtual surroundings sensor, and virtual environment with road, vegetation, curbs, road signs, road markings, and weather conditions. This virtual model replicates real-world conditions to enable accurate simulation of light distribution without requiring actual night drives, thereby improving measurement precision while maintaining manageable complexity through digital modeling
Solution Approach 2:
The virtual surroundings sensor acts as an intermediary between the virtual pixel headlamp and the virtual environment, recording illuminance values that reflect the actual interaction of light with environmental factors. This intermediary component enables the system to account for external environmental influences on light distribution, improving calculation accuracy by mediating the complex interactions between headlamp output and environmental conditions
2Measurement precision
If actual night drives are performed for calibration, then realistic light distribution data can be obtained, but the process is costly and dangerous
Solution Approach 1:
The patent replaces dangerous actual night drives with a virtual copy of the driving scenario. The virtual motor vehicle with virtual pixel headlamp operates in a simulated environment that replicates real-world lighting conditions, allowing calibration and testing without exposing vehicles or personnel to actual road traffic risks while maintaining measurement precision through realistic virtual environmental modeling
Solution Approach 2:
The system performs preliminary simulation and calibration in the virtual environment before any actual deployment. By pre-calculating light distribution characteristics and validating control algorithms in the safe virtual setting, the system eliminates the need for dangerous actual night drives, as all necessary calibration is completed beforehand in the risk-free virtual scenario
3Reliability
If discrete regions are shaded to prevent glare, then safety is improved, but the overall illumination coverage is reduced
Solution Approach 1:
The patent applies local quality by selectively adjusting the light intensity of individual pixels or pixel groups based on their specific spatial location and the detected environment. Instead of uniformly dimming the entire headlamp, the system identifies specific regions requiring glare prevention and adjusts only those local areas, maintaining high illumination in safe regions while reducing intensity in regions posing glare risks to other road users
Solution Approach 2:
The headlamp output is segmented into multiple independently controllable pixel groups, each capable of being adjusted according to its specific functional requirement. This segmentation allows the system to differentiate between regions needing glare prevention and regions requiring maximum illumination, optimizing both safety and illumination coverage by controlling each segment according to its local requirements
Data Source
AI summary
The invention relates to a method for producing control for a real pixel headlamp, which control can be used to control the two-dimensional distribution of the illumination intensity for that area of a scene that is illuminable with the pixel headlamp on the basis of features of different regions of the illuminable area of the scene. This provides a method of this kind that allows automatic capture of a physical selection region that is dependent on a light function and automatic changing of the light intensity of the pixels affected for the physical selection region.