HUD Brightness Adjustment via Beam Splitter Imaging
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Solution Overview
Problem
Current head-up display (HUD) systems struggle to accurately adjust display brightness due to ambient brightness detection at the vehicle's bottom, which does not reflect the actual brightness at the imaging position, resulting in low adjustment accuracy and suboptimal display contrast.
Innovation Solution
The method involves acquiring the brightness value of the virtual image and its environment using a beam splitter and camera or wearable devices like intelligent glasses, allowing for precise adjustment of the HUD's display brightness based on the actual ambient conditions at the imaging position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the brightness sensor is arranged at the bottom of the windshield or at the vehicle body to detect ambient brightness value, then the device structure is simple, but the measurement precision of ambient brightness value at imaging position is low
Solution Approach 1:
The patent introduces a beam splitter as an intermediary optical element that redirects light from the imaging position to the brightness sensor. This allows the sensor to measure brightness at the imaging position without being physically located there, resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent uses a camera to capture an image of the imaging position and extracts brightness information from this image copy. This allows accurate brightness measurement at the imaging position without requiring the sensor to be physically present at that location, solving the measurement precision issue while maintaining reasonable device complexity
2Manufacturing precision
If the brightness sensor is arranged at the bottom of the windshield or at the vehicle body, then the device structure is simple, but the adjustment accuracy of display brightness value is low
Solution Approach 1:
The beam splitter acts as an intermediary that enables the brightness sensor to indirectly measure the ambient brightness at the imaging position. This provides accurate brightness data for adjustment calculations, improving display brightness adjustment accuracy without significantly increasing device complexity
Solution Approach 2:
The patent implements a feedback mechanism where the measured brightness value from the imaging position is used to calculate and adjust the display brightness value. This closed-loop feedback system ensures accurate brightness adjustment by continuously adapting to actual imaging conditions
3Illumination intensity
If the ambient brightness value is detected away from the imaging position, then the device structure is simple, but the display contrast is not optimal
Solution Approach 1:
The beam splitter serves as an intermediary optical path that allows the brightness sensor to measure the actual ambient brightness at the imaging position. This ensures that the displayed information has optimal contrast relative to the actual viewing conditions, resolving the contradiction between display contrast and device complexity
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 improves the accuracy of display brightness adjustment, ensuring optimal visibility of HUD information for the driver by directly reflecting the ambient brightness at the imaging position, enhancing both day and night visibility.
Implementation Method 1
The image is acquired through a beam splitter and a camera
Data Source
AI summary
A method and a device for adjusting a display brightness value are provided. The method includes: acquiring a brightness value of a virtual image at an imaging position of an HUD and a brightness value of an environment where the virtual image is located; and adjusting the display brightness value of the HUD in accordance with the brightness value of the environment and the brightness value of the virtual image.