Display Image Data Validation With Selective Error Correction
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Solution Overview
Problem
Existing display devices in motor vehicles face issues with non-safety-critical errors in image data transmission and display, which can lead to unnecessary deactivation of the display, as current methods fail to differentiate between significant and insignificant changes in image data, potentially causing false safety-critical errors.
Innovation Solution
A method that involves transmitting verification data with image data to determine its validity, allowing for error correction up to a predetermined extent, particularly by replacing insignificant image data with verification data during idle times, using Hamming encoding for error detection and correction, and comparing test values to ensure compliance with ISO 26262 standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If verification data is transmitted with all image data, then error detection and correction capability is improved, but data transmission volume and processing complexity increase
Solution Approach 1:
The patent applies local quality by selectively replacing only certain image data points (specifically less significant ones) with verification data, rather than uniformly verifying all data. This allows error correction capability to be concentrated where it provides maximum benefit while minimizing the overhead of verification data transmission.
Solution Approach 2:
The patent implements partial verification by transmitting verification data for only a portion of the image data points rather than all of them. This partial action approach achieves sufficient error detection and correction for safety-critical applications without the excessive complexity and bandwidth requirements of complete verification.
2Reliability
If verification data replaces significant image data, then error correction capability is improved, but image quality and information accuracy deteriorate
Solution Approach 1:
The patent differentiates between significant and less significant image data points, applying verification only to the latter. This local quality approach ensures that critical image information is preserved while verification resources are allocated to less critical data where errors would have minimal visual impact.
3Reliability
If all image data is verified, then safety compliance is improved, but display deactivation frequency increases due to false errors
Solution Approach 1:
The patent performs verification on only a subset of image data points rather than all of them. This partial verification approach maintains sufficient safety compliance for automotive applications while reducing the likelihood of false error detections that would trigger unnecessary display deactivation.
Solution Approach 2:
The patent changes the verification parameter from comprehensive verification of all data points to selective verification of specific data points. This parameter change optimizes the balance between safety compliance and display availability by verifying enough data to ensure safety without triggering false alarms.
Data Source
Figure 1~2
AI summary
The invention relates to a method for checking a first validity of image data, wherein the image data are transmitted from a graphics processor (30) to a data monitoring module (10), wherein checking data are transmitted for the image data and a first validity of the image data is ascertained only if a check on at least one portion of the image data by including the checking data reveals no errors in the portion of the image data or if errors ascertained in the portion of the image data during the check by considering the checking data can be corrected at least to a prescribed extent.