Surround-View Camera Edge Overlay for Color-Blind Visibility
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Solution Overview
Problem
Current surround-view camera systems fail to effectively assist drivers with color perception disorders, leading to reduced visibility and increased accident risk due to inadequate color differentiation, particularly in road signs and safety warnings.
Innovation Solution
A method for a surround-view camera system that generates a simulated image based on color perception impairments, calculates a differential image, detects edges, and superimposes these edges onto the original image for enhanced visibility, using a control device and surround-view cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If color-based visualization is used in surround-view camera systems, then realistic environment representation is improved, but visibility for users with color perception disorders deteriorates
Solution Approach 1:
The patent applies color changes by transforming the original color image into a simulated color blind view, then detecting edges in this simulated view, and finally overlaying these edges onto the original image. This allows the system to maintain the realistic color representation while adding edge highlights that are visible to color blind users, thereby resolving the contradiction between realistic visualization and accessibility.
Solution Approach 2:
The patent introduces an intermediary processing step where a simulated color blind image is generated from the original image. This simulated image serves as a mediator to identify which edges would be invisible to color blind users, allowing the system to selectively enhance only those critical edges without altering the overall color representation for seeing users.
2Reliability
If edge detection and overlay processing is applied, then visibility for color blind users is improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by first generating the simulated color blind image from the original image before performing edge detection. This preliminary transformation allows the edge detection algorithm to work on a pre-processed image that already reflects the visual limitations of color blind users, making the subsequent edge detection more targeted and efficient rather than requiring complex real-time analysis of color information.
Data Source
AI summary
The present disclosure relates to a method for a camera system, in particular a surround-view camera system, for a vehicle, which has a control device, multiple surround-view cameras, and a display apparatus. The method includes: generating an original image (step I), generating a simulated image of the original image, the simulated image simulating a coloration of the original image resulting from an ascertainable visual impairment, generating a differential image between the original image and the simulated image, determining edges in the differential image, generating a superimposed image by superimposing the original image and the edges of the differential image, and displaying the superimposed image using the display apparatus.