Headlight Control Device for Fog Visibility
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Solution Overview
Problem
In foggy conditions, especially at night, the visibility of self-illuminating objects such as traffic lights and rear lights of other vehicles is reduced due to scattered light from particles like fog, making it difficult for drivers to perceive these objects, which can lead to hazardous situations.
Innovation Solution
A control device for vehicle headlights that adjusts light distribution by determining a region around detected self-illuminating objects and reducing light intensity within this region, using a detection sensor and evaluation unit to enhance contrast and improve object visibility, potentially employing a single sensor like a camera for particle and object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If headlight emits light in foggy conditions, then illumination of the road is provided, but scattered light from particles reduces visibility of self-illuminating objects
Solution Approach 1:
The headlight system applies different light intensities to different spatial regions. A first region (where self-illuminating objects are detected) receives reduced light intensity compared to a second region (other road areas), allowing objects to remain visible while still providing illumination where needed.
Solution Approach 2:
The light distribution is dynamically adjusted based on real-time detection of self-illuminating objects and particles. The control device continuously monitors object positions and modifies the light intensity distribution accordingly, transitioning from static to adaptive illumination patterns.
2Reliability
If light intensity is reduced in the region of self-illuminating objects, then object perceptibility is improved, but overall illumination coverage is reduced
Solution Approach 1:
The system maintains high light intensity in regions away from detected self-illuminating objects while reducing intensity only in their specific regions. This localized differentiation preserves overall illumination coverage while improving object detection reliability in critical areas.
Solution Approach 2:
The illumination space is segmented into multiple regions: a first region containing self-illuminating objects with reduced light intensity, and a second region (other road areas) with normal or higher light intensity. This segmentation allows simultaneous optimization of both object detection and overall illumination.
3Measurement precision
If multiple sensors are used for particle and object detection, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
A single detection sensor (such as a camera) is designed to perform multiple functions: detecting both particles in the environment and self-illuminating objects (traffic lights, rear lights). This multi-functional approach maintains detection accuracy while reducing device complexity compared to using separate specialized sensors.
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
The solution improves the perceptibility of self-illuminating objects by reducing scattered light and increasing contrast, allowing drivers to detect essential light sources earlier and more reliably, even in foggy conditions.
Implementation Method 1
a detection sensor and an evaluation unit that, when particles and a self-illuminating object are detected
Data Source
AI summary
A control device for a headlight for emitting light according to a headlight signal corresponding to an adjustable light distribution. The control device outputs the headlight signal, corresponding to the adjustable light distribution, to the headlight. The control device has an evaluation unit that determines object position data of the object when particles are detected using a detection unit and a self-illuminating object is detected, and to determine, as a function of the object position data, a region in which the object is located. The evaluation unit also generates data for the light distribution as a function of the region in such a way that a light intensity in the region is reduced or increased with respect to a light intensity outside this region, and correspondingly to determine and output the headlight signal from the data for the light distribution.