Vehicle Display Safety Tagging Through Pixel-Level Binary Codes
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Solution Overview
Problem
Existing methods for securely displaying ASIL-relevant data on motor vehicle display devices often result in inaccurate or distorted images due to inadequate separation and processing of safety-critical and non-safety-critical data, leading to potential errors in safety ratings.
Innovation Solution
Introducing a binary code into the color bit information of pixels to control image enhancement processes, ensuring that safety-relevant data is not altered and allowing precise identification of safety ratings, thereby maintaining accurate display content and enabling error detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image enhancement processes are applied to all display data to optimize visual quality, then display quality is improved, but safety-critical data may be incorrectly modified leading to loss of information about precise display content
Solution Approach 1:
The patent segments image data into safety-critical and non-safety-critical portions using binary classification. Safety-critical pixels are identified and separated from regular pixels, allowing differential processing where only non-safety-critical pixels undergo image enhancement. This segmentation enables the system to maintain high display quality for non-critical areas while preserving original safety-critical data without modification.
Solution Approach 2:
The patent applies local quality by treating different regions of the display differently based on their safety classification. Safety-critical regions are processed with minimal or no enhancement to preserve exact display content, while non-safety-critical regions receive full image enhancement optimization. This local differentiation resolves the contradiction by applying quality enhancement only where it does not compromise safety information.
2Measurement precision
If binary code information is embedded in pixel color data to convey safety ratings, then measurement precision of safety ratings is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent merges safety rating information with existing pixel color data by embedding binary classification codes within the color bit information of pixels. This merging approach allows safety metadata to be transmitted alongside visual data through the same channel without requiring separate communication paths. The binary code is integrated into the color representation, enabling simultaneous conveyance of both visual and safety information through a unified data stream.
Solution Approach 2:
The patent implements multi-functionality by using the pixel color data to serve dual purposes: conveying visual display information and encoding safety rating metadata. The same pixel data structure carries both the visual color information needed for display and the binary classification code needed for safety identification. This universal use of existing data structures avoids adding separate dedicated safety channels, thereby limiting the increase in device complexity.
3Reliability
If safety-critical and non-safety-critical data are processed separately and independently, then reliability of safety data display is improved, but productivity decreases due to increased processing overhead
Solution Approach 1:
The patent applies preliminary action by performing binary classification and separation of safety-critical pixels before the main image processing pipeline. The classification occurs at an early stage when image data is first received, allowing subsequent processing stages to handle already-separated data streams. This preliminary segregation enables parallel processing of safety-critical and non-safety-critical data, improving reliability through independent processing while managing productivity through efficient pipeline architecture.
Solution Approach 2:
The patent introduces an intermediary binary classification layer that mediates between raw image input and the main processing pipeline. This intermediary classification stage identifies and tags safety-critical pixels, creating a structured intermediate representation that facilitates subsequent separate processing. The intermediary classification mechanism enables reliable differentiation of data types while maintaining processing efficiency through systematic organization of the data flow.
Data Source
AI summary
A method for securely displaying ASIL-relevant data on a display device of a motor vehicle, where the device includes a transmitter unit, a receiver unit, and a display unit to show the images generated by the receiver unit. Images having higher safety ratings are shown on the display unit with less modification by an image enhancement process in comparison with images having lower safety ratings. Information about the safety rating of an image to be displayed is introduced by the transmitter unit into a data stream by a classifying binary code in color bit information of at least one pixel of the image to be displayed via a pixel matrix, in order to control a change of the image during the image enhancement process in an image enhancer associated with an image-data-outputting receiver unit for images of all safety ratings.