Vehicle Camera-Based Ambient Light Control for Night Vision
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Solution Overview
Problem
Existing vehicle headlamp control systems rely on light sensors to adjust headlight intensity, which may not accurately capture ambient light conditions, especially in low-light environments, limiting effective night vision and object detection.
Innovation Solution
A vehicle headlamp control system utilizing one or more CMOS cameras to capture image data, process it to measure light intensity, and control headlamps and infrared LEDs, enhancing imaging and object detection in low-light conditions by adjusting IR LED intensity based on ambient light levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light sensors are used to control headlamp intensity, then the control system is simple, but the accuracy of ambient light measurement is insufficient especially in low-light environments
Solution Approach 1:
The camera serves multiple functions: it captures images for object detection and simultaneously measures ambient light intensity by analyzing pixel brightness values. This eliminates the need for dedicated light sensors while improving measurement accuracy through the camera's higher resolution sensing capability.
Solution Approach 2:
The camera system performs self-service by using its own image capture capability to determine ambient light conditions. The processor analyzes the brightness of pixels in captured images to calculate ambient light intensity, allowing the system to use its primary function (imaging) to also perform light measurement without requiring additional specialized components.
2Measurement precision
If camera is used to measure light intensity, then measurement accuracy improves, but processing complexity increases
Solution Approach 1:
The system extracts only the necessary information from the captured image data - specifically the brightness values of pixels within a region of interest - to determine ambient light intensity. This extraction approach allows accurate light measurement without requiring complex processing of the entire image, reducing computational complexity while maintaining measurement precision.
Solution Approach 2:
The processor performs partial processing by analyzing only specific regions of the image (region of interest) and using a simplified method of calculating average pixel brightness to determine light intensity. This partial action approach provides sufficient measurement accuracy without the need for exhaustive image processing, balancing complexity and precision.
3Reliability
If IR LED intensity is dynamically adjusted based on ambient light, then night vision capability improves, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts IR LED intensity based on real-time ambient light conditions measured by the camera. When ambient light is sufficient, the IR LED intensity is reduced or turned off; when ambient light is low, the intensity is increased. This dynamic adjustment ensures effective night vision while minimizing unnecessary energy consumption during daytime or well-lit conditions.
Solution Approach 2:
The system implements feedback control where the camera continuously monitors ambient light intensity and provides feedback to the controller, which then adjusts the IR LED intensity accordingly. This closed-loop feedback mechanism ensures that the IR LED operates at the optimal intensity level for current lighting conditions, improving night vision reliability while avoiding excessive energy consumption.
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 system provides improved night vision and object detection by dynamically adjusting IR LED intensity, enhancing driver assistance in various lighting conditions, thereby improving safety and visibility.
Implementation Method 1
capture image data representative of images exterior of the vehicle... measure the light intensity of the environment utilizing the vehicle camera (via processing of image data captured by the vehicle camera)
Implementation Method 2
control the vehicle headlamps and/or infrared (IR) light emitting diodes (LEDs) for night vision
Data Source
AI summary
A vision system for a vehicle includes a camera disposed at the vehicle and having a field of view exterior of the vehicle. The camera includes a lens and an imager. A control includes a processor that processes image data captured by the camera. A light emitting device includes at least one light emitting diode. The light emitting device, when the at least one light emitting diode is powered, emits near infrared light at a region encompassed by the field of view of the camera. The control, responsive to processing of image data captured by the camera, determines an ambient light level exterior the vehicle. The control, responsive to the determined ambient light level, automatically controls intensity of the near infrared light emitted by the light emitting device.