Surrounding Image Color Correction for Color-Impaired Driving
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Solution Overview
Problem
Individuals with color vision impairment face challenges in driving due to their inability to distinguish between certain colors, particularly red, yellow, and green, which are crucial for traffic lights and surrounding vehicle images, leading to increased driving fatigue and reduced safety.
Innovation Solution
An apparatus and method for correcting surrounding vehicle images by detecting moving objects and changing their colors to hues perceivable by drivers with color vision impairment, utilizing a camera sensor and controller that operate in various modes, including weather conditions and driver convenience requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If color information is preserved in surrounding images, then color accuracy is maintained, but drivers with color vision impairment cannot distinguish certain colors (red, yellow, green)
Solution Approach 1:
The system transforms colors in the surrounding image to make them distinguishable for drivers with color vision impairment. When a color discrimination failure is detected (e.g., red and green appearing identical), the system adjusts the hue of affected colors to create sufficient chromatic difference, ensuring that traffic lights and surrounding vehicles can be distinguished while preserving natural color appearance for normally sighted drivers.
Solution Approach 2:
The system dynamically adjusts color parameters (hue, saturation, brightness) based on detected color discrimination failures. By modifying these parameters selectively for problematic color combinations, the system maintains color accuracy for visible colors while enhancing distinguishability for colors that fail discrimination tests, resolving the contradiction between fidelity and accessibility.
2Ease of operation
If color correction is applied to all images, then distinguishability for impaired drivers is improved, but color accuracy for normally sighted drivers deteriorates
Solution Approach 1:
The system applies color correction locally only to regions where color discrimination failure is detected, rather than uniformly across the entire image. By identifying specific color pairs that fail discrimination tests (e.g., red-green or yellow-blue combinations) and adjusting only those regions, the system maintains natural color appearance for normally sighted drivers while enhancing distinguishability where needed.
Solution Approach 2:
The system dynamically determines whether color correction should be applied based on real-time detection of color discrimination failures. The correction is activated only when a discrimination failure is detected and deactivated when colors are properly distinguishable, allowing the system to adapt to varying viewing conditions and driver needs without compromising overall color accuracy.
3Reliability
If the system detects and corrects color discrimination failures in real-time, then driving safety is improved, but processing time and computational load increase
Solution Approach 1:
The system performs partial color correction by focusing only on detecting and adjusting problematic color pairs (red-green, yellow-blue) rather than processing all colors in the image. This selective approach reduces computational complexity while maintaining safety-critical functionality, as the system only intervenes when specific color discrimination failures are detected.
Solution Approach 2:
The system pre-establishes color discrimination thresholds and correction rules for critical color pairs before real-time operation. By having predetermined correction strategies ready, the system can quickly detect discrimination failures and apply appropriate corrections without extensive real-time computation, reducing processing latency while maintaining safety.
Data Source
AI summary
An apparatus and a method for correcting a surrounding image of a vehicle are disclosed. The apparatus obtains a surrounding image of a vehicle and detects a moving object in the image. The apparatus changes a color of the moving object to a color that a driver is able to perceive when the color of the moving object is a color that the driver is unable to perceive. Thus, driving convenience is provided to people with color vision impairment.