Vehicle Vision Fault Localization Using Embedded Image Markers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current motor vehicle vision systems require multiple processing steps, making it difficult for users to identify and troubleshoot faults without specialized tools, as faults in specific processing steps or processors are not easily discernible from the final output images.
Innovation Solution
An image processing method that adds distinguishable markers to the final image signal from each processing unit, allowing users to identify faults by analyzing distorted markers in the output image, reducing the need for additional debuggers and simplifying fault location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple processing steps are used to process original images, then image processing functionality is improved, but fault detection difficulty increases
Solution Approach 1:
The patent divides the image processing system into multiple processing units (first processing unit, second processing unit, etc.), each responsible for specific processing steps. This segmentation allows independent testing and fault isolation of each processing unit by injecting test images and observing which unit fails to produce the expected output, thereby resolving the fault detection difficulty while maintaining comprehensive image processing functionality.
2Adaptability or versatility
If multiple processing units are used, then image processing capability is improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where test images are injected into the processing system and the output images are observed to determine which processing unit is faulty. This feedback loop provides a systematic method for fault detection and localization, reducing the operational complexity of managing multiple processing units while maintaining enhanced image processing capability.
3Measurement precision
If additional debuggers are used for fault troubleshooting, then fault detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables the image processing system to self-diagnose faults by using its own processing units to generate and process test images. Each processing unit can be individually tested by injecting a test image and observing whether the expected output is produced, allowing the system to identify faulty units without external debugging tools, thereby maintaining high fault detection accuracy while reducing device complexity.
4Measurement precision
If additional debuggers and specialists are required for fault analysis, then fault detection accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent incorporates test image injection capability as a built-in feature of the processing system, allowing faults to be detected immediately when they occur. By having the testing mechanism pre-integrated into the system architecture, fault detection can be performed rapidly without requiring external tools or specialist intervention, thereby maintaining high detection accuracy while significantly reducing time consumption.
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
The present disclosure proposes an image processing method, a vision system, a fault locating method and a motor vehicle. Through the addition of markers when each processing unit is subjecting an image signal to processing, the markers corresponding thereto and being distinguishable from one another on an image frame of a final image signal, there are advantages of simple, convenient and quick fault locating, and low development, maintenance and debugging costs. Furthermore, because the markers are added to the image frame of the final image signal at a suitable frame rate and in a suitable form, there are further advantages of not affecting the original functions of the vision system and not disturbing the motor vehicle driver. Moreover, because the markers are widely distributed on the image frame of the final image signal to comprehensively reflect faults in the image frame of the final image signal without omission, there is the further advantage of high sensitivity in fault detection.