Surrounding Vehicle View Highlighting Without Blocking Driver Visibility
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Solution Overview
Problem
Drivers face difficulty in recognizing nearby vehicles in surrounding images displayed on vehicle display devices due to limited visibility and continuous attention required for monitoring through mirrors, leading to increased fatigue and potential accidents.
Innovation Solution
A surrounding surveillance apparatus that adjusts pixel values in detected vehicle regions using color weights, ensuring the obscured area does not exceed a predetermined ratio, and indicates vehicle movement through varying color weights based on distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weights for adjusting at least one color are assigned to pixels in detection regions to enhance nearby vehicle recognition, then the recognition of nearby vehicles is improved, but the driver's visibility in surrounding images is reduced
Solution Approach 1:
The patent applies different quality treatments to different regions of the image. Specifically, it assigns color adjustment weights only to pixels within detection regions where nearby vehicles are detected, while leaving other regions unchanged. This localized approach enhances vehicle recognition without compromising overall visibility of the surrounding environment.
Solution Approach 2:
The patent implements partial action by applying color adjustment weights only to a predetermined proportion of the detection region rather than the entire region. This ensures that enhancement is sufficient to improve vehicle recognition while maintaining enough unadjusted pixels to preserve driver visibility and context information.
2Measurement precision
If continuous monitoring through mirrors is performed to detect nearby vehicles, then the detection of nearby vehicles is improved, but the driver's fatigue increases
Solution Approach 1:
The system performs automatic vehicle detection and image processing without requiring continuous driver intervention. The image acquisition unit continuously captures images, the vehicle detection unit automatically detects nearby vehicles, and the image processing unit adjusts the display accordingly. This automated self-service approach eliminates the need for continuous mirror monitoring by the driver, reducing fatigue while maintaining detection effectiveness.
3Measurement precision
If the proportion of adjusted pixel regions is increased to improve vehicle detection accuracy, then the nearby vehicle recognition is enhanced, but the overall surrounding image quality deteriorates
Solution Approach 1:
The patent carefully controls the proportion of adjusted pixels to be within a predetermined range. This partial action ensures that enough pixels are adjusted to achieve accurate vehicle recognition while maintaining sufficient unadjusted pixels to preserve overall image quality and provide contextual information about the surrounding environment.
Data Source
AI summary
A surrounding surveillance apparatus for a vehicle includes an image acquisition unit that acquires an image in a vicinity of the vehicle; a vehicle detection unit configured to detect a nearby vehicle in the image and sets a detection region corresponding to the detected nearby vehicle; and an image processing unit configured to adjust values of pixels in at least some portions within the detection region. In particular, the image processing unit is configured to cause a proportion of areas where the values of the pixels are adjusted with respect to a designated region of the surrounding image to be less than a predetermined ratio.