ADB Vehicle Detection Using Multi-Brightness Camera Imaging
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Solution Overview
Problem
Current adaptive driving beam (ADB) control systems face challenges in rapidly switching light distribution patterns to address glare from both vehicles and reflective objects while maintaining visibility and accuracy, leading to increased costs and complexity.
Innovation Solution
A vehicle detecting device with a camera and image sensor using multiple imaging element groups with different filter transmittance levels captures images of the road ahead, allowing for the generation of multiple brightness levels, enabling precise detection of vehicles and reflective objects, and a light distribution controlling device adjusts the light distribution pattern based on these images to minimize glare and maintain visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the communication speed of the vehicle lamp system is increased to achieve rapid switching of light distribution patterns, then the responsiveness and accuracy of ADB control is improved, but the cost of the system increases
Solution Approach 1:
The image sensor is divided into multiple imaging element groups (first, second, third groups) with different filter transmittance characteristics. Each group captures images with different brightness levels simultaneously, enabling the system to process multiple brightness conditions without requiring rapid sequential switching or high-speed communication protocols.
Solution Approach 2:
The patent employs periodic imaging cycles where the image sensor alternates between different imaging element groups to capture images at different brightness levels. This periodic action allows the system to gather necessary visual information over time without requiring continuous high-speed data transmission, thus reducing communication speed requirements while maintaining ADB control effectiveness.
2Illumination intensity
If vehicle lamps are made of higher luminance to improve visibility, then the visibility of the driver is improved, but the glare caused to other drivers and by reflective objects increases
Solution Approach 1:
The system uses imaging element groups with different filter transmittance to capture images with different brightness characteristics. By analyzing images from multiple groups, the system can identify regions requiring glare prevention and apply localized dimming only to those specific areas while maintaining high luminance in other regions, thus preserving driver visibility while reducing glare to other drivers and reflective objects.
Solution Approach 2:
The patent dynamically adjusts the luminance parameter of vehicle lamps based on real-time image analysis from multiple imaging element groups. By changing the luminance parameter selectively in different spatial regions and time periods, the system maintains high visibility for the host vehicle driver while preventing excessive glare to other drivers and reflective objects.
3Measurement precision
If multiple imaging element groups with different filter transmittance are used to capture images of different brightness levels, then the detection accuracy of vehicles and reflective objects is improved, but the device complexity increases
Solution Approach 1:
The image sensor is designed with multiple imaging element groups that can function simultaneously for different purposes: one group captures bright regions, another captures dark regions, and a third captures intermediate brightness levels. This multi-functional design allows a single sensor to perform multiple detection tasks that would otherwise require separate sensors, improving detection accuracy across various brightness conditions while limiting overall 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 solution enables rapid and accurate switching of light distribution patterns, improving vehicle safety by reducing glare and maintaining visibility for both the host vehicle and oncoming vehicles, while also reducing the cost and complexity of the system.
Implementation Method 1
The first filter keeps an amount of light entering the first imaging element group lower than an amount of light entering the second imaging element group
Data Source
AI summary
A vehicle detecting device includes: a camera that includes an image sensor and a first filter, the image sensor including a plurality of imaging elements including a first imaging element group and a second imaging element group, the first filter keeping an amount of light entering the first imaging element group lower than an amount of light entering the second imaging element group; an image generating unit that generates a first image based on information obtained from the first imaging element group and a second image based on information obtained from the second imaging element group; and a detecting unit that detects a front vehicle based on the first image and the second image.