Vehicle Camera Night Mode Switching for Low-Light Image Quality
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Solution Overview
Problem
Conventional camera-monitor systems in vehicles are optimized for daylight scenarios, resulting in mediocre image quality at night, which can increase the risk of accidents due to fatigue, distraction, and situational misjudgment.
Innovation Solution
A method for operating an image data processing device in a vehicle's vision system that adjusts image processing settings based on a condition-signal indicating day or night conditions, enhancing image quality by altering contrast, digital gain, and noise filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the same ISP settings are used for both day and night driving, then the device complexity is reduced, but the image quality deteriorates at night with high color noise, low dynamic range, and over/underexposure
Solution Approach 1:
The system dynamically switches between day-mode and night-mode ISP settings based on ambient light conditions detected by the ambient light sensor. This allows the image processing parameters to adapt in real-time to changing lighting environments, optimizing image quality for both day and night driving conditions without requiring manual intervention or complex manual configuration.
Solution Approach 2:
The system changes key ISP parameters including digital gain, noise filtering strength, dynamic range compression, and exposure compensation based on whether day or night mode is active. These parameter changes enable the image processing to be optimized for specific lighting conditions, resolving the contradiction between using simple fixed settings and achieving high image quality across varying conditions.
2Object-affected harmful factors
If the monitor display brightness is reduced for night conditions, then driver fatigue and distraction are reduced, but the visibility of image content deteriorates
Solution Approach 1:
The system compensates for reduced display brightness by adjusting image processing parameters specifically for night mode, including increasing digital gain to amplify signal strength, enhancing noise filtering to maintain image clarity, and optimizing dynamic range to preserve detail in both dark and illuminated areas. These parameter changes ensure that even at reduced brightness, the image content remains clearly visible and informative.
Solution Approach 2:
The system applies asymmetric processing where the image data itself is actively modified for night conditions rather than simply adjusting display brightness. This creates a balanced solution where the display can be dimmed to reduce driver fatigue while the enhanced image processing parameters compensate to maintain adequate visibility of critical road information.
3Extent of automation
If ambient light sensor is added to detect day/night conditions, then automatic mode switching is enabled, but the device complexity increases
Solution Approach 1:
The ambient light sensor continuously monitors ambient lighting conditions and automatically triggers the appropriate mode (day or night) without requiring driver intervention. The system serves itself by using environmental information to self-adjust its operating parameters, enabling seamless automatic mode switching that simplifies the user experience while maintaining relatively simple control logic.
Data Source
AI summary
The invention relates to a method for operating an image data processing device (16) of a vision system (10) of a vehicle (20). The method comprises receiving image data captured by at least one imaging device (12); receiving a condition-signal indicating a day-time condition or a night-time condition; and processing the received image data dependent on the received condition-signal. Further, the invention relates to a vision system (10) comprising an image data processing device (16) configured to perform said method and a vehicle (20) comprising said vision system (10).