Intelligent Lamp Anti-Glare Margin Control for Curved Roads
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Solution Overview
Problem
Intelligent lamp systems face challenges in adjusting the margin width for glare prevention, leading to either excessive glare on curved roads or reduced visibility on straight roads due to fixed settings, posing safety risks.
Innovation Solution
The system subdivides the control area into micro-sections to analyze real-time light-on/off frequency patterns and adjusts the anti-glare margin width based on these patterns, varying with the location and driving environment to minimize glare and enhance driver visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the margin width for preventing glare is fixedly set, then the glare prevention function is ensured, but the driver's visibility is deteriorated on straight roads due to unnecessarily large allowance width
Solution Approach 1:
The patent applies dynamics by making the margin width variable rather than fixed. The control device dynamically adjusts the margin width based on real-time analysis of light-on/off frequency patterns detected by the camera. When the system detects high light-on/off frequency indicating presence of another vehicle, it increases the margin width for glare prevention; when frequency is low on straight roads, it reduces the margin width to improve driver visibility.
Solution Approach 2:
The patent implements parameter changes by modifying the margin width parameter according to driving conditions. The system analyzes environmental data including light-on/off frequency patterns and adjusts the margin width parameter accordingly. This allows the system to optimize both glare prevention and visibility by changing the margin width parameter from a fixed value to a dynamically adjusted value based on detected conditions.
2Illumination intensity
If the margin width for preventing glare is fixedly set, then the driver's visibility is maintained, but glare occurs to the driver of another vehicle on curved roads due to insufficient margin
Solution Approach 1:
The system dynamically adjusts the margin width based on real-time environmental analysis. When the camera detects light-on/off frequency patterns indicating a curved road section or presence of another vehicle, the control device automatically increases the margin width to prevent glare to other drivers, while maintaining adequate visibility for the host vehicle driver.
Solution Approach 2:
The patent employs feedback mechanisms where the camera continuously monitors the environment and provides data about light-on/off frequency patterns. The control device uses this feedback to adjust the margin width in real-time. When feedback indicates potential glare risk to another vehicle, the system increases the margin width; when feedback shows safe conditions, it maintains or reduces the margin width to preserve visibility.
3Measurement precision
If the control area is subdivided into micro-sections to analyze light-on/off frequency patterns, then the accuracy of glare prevention is improved, but the device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the control area into multiple micro-sections or segments. The camera captures images and the control device analyzes light-on/off frequency patterns separately for each segment. This segmentation enables precise detection of another vehicle's position and behavior, allowing accurate determination of appropriate margin width for glare prevention while maintaining manageable system complexity through modular analysis.
Data Source
AI summary
Disclosed are an apparatus and a method for controlling an intelligent lamp. The apparatus includes a camera that photographs an image of a front control area, a pattern analysis device that checks a target location for a control area of the camera, logs data for each segment corresponding to the target location, and analyzes a light-on/off frequency pattern, and a controller that adjusts a margin width of an anti-glare area for a preceding vehicle by calculating a light-on/off frequency corresponding to a location of the front vehicle based on the light-on/off frequency pattern when the front vehicle is detected.