EVS-HUD Image Interface for Fast Vision Display Transformation
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Solution Overview
Problem
Challenges exist in transforming images for heads-up displays (HUDs) when they are manufactured separately from enhanced and synthetic vision systems, leading to inefficiencies in processing and integration.
Innovation Solution
An enhanced vision system (EVS) with an integrated interface for image display control, including an image sensor, communication interface, memory, and processors, generates a lookup table based on gamma, brightness, and contrast signals to transform images, which are then transmitted to the HUD for display, optimizing image quality and integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the heads-up display is manufactured by a separate manufacturer than the enhanced vision systems and synthetic vision systems, then device complexity and integration difficulty increase, but manufacturing flexibility and supplier options improve
Solution Approach 1:
The patent implements a universal transformation interface that can process images from multiple different vision systems (enhanced vision systems and synthetic vision systems) using the same transformation pipeline. The interface accepts images with various formats and parameters, applies consistent gamma and brightness transformations, and outputs standardized images suitable for display on different HUD types, thereby enabling multi-functionality across diverse manufacturer components
Solution Approach 2:
The patent introduces an image transformation interface as an intermediary component between the vision systems and the heads-up display. This intermediary performs the critical function of receiving images from different manufacturers' vision systems, applying necessary transformations based on HUD settings, and delivering processed images to the display, thereby mediating the integration complexity while preserving manufacturing flexibility
2Illumination intensity
If the heads-up display applies transformation to incoming images based on current settings, then image quality and visibility improve, but processing time and computational load increase
Solution Approach 1:
The patent implements preliminary action by pre-calculating transformation parameters (gamma values, brightness adjustments) based on anticipated HUD settings and storing them in lookup tables or pre-processed configurations. When an image requires transformation, the system retrieves pre-computed parameters rather than performing full transformation calculations in real-time, significantly reducing processing time while maintaining image quality
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting transformation parameters (gamma, brightness, contrast) based on current HUD settings and environmental conditions. The system modifies these parameters in real-time to optimize image visibility for different lighting conditions and display configurations, achieving high image quality through efficient parameter adjustment rather than complex re-processing
Data Source
AI summary
An enhanced vision system (EVS) is integrated with a heads-up display (HUD). The EVS generates image of an external scene. The EVS generates the images without repeatedly generating the images when a mode of the HUD changes. The EVS includes an expanded interface, where inputs from the HUD are used in the internal processing of the EVS. The HUD then displays information in a graphical and alphanumeric format. The information can include an enhanced vision image from the EVS and/or a synthetic vision image from a synthetic vision system (SVS). The enhanced vision image can be merged with a synthetic vision image to provide a combined vision image.


