Vehicle Head-Up Display Filtering Rain and Snow Occlusions
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Solution Overview
Problem
Drivers face challenges in maintaining visibility during adverse weather conditions like rain or snow, as existing technologies have not effectively addressed the need for real-time removal of occlusions from vehicle operators' visual fields.
Innovation Solution
A system comprising sensors, a processor, and a display that captures images of the driving scene, applies noise filtering to remove occlusions, and presents a clear visual representation of the environment to the operator through a head-up display, utilizing adaptive and predictive filtering algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers rely on direct visual observation through the windshield, then the visual information is real-time and unprocessed, but the visibility is severely impeded by rain or snow occlusions
Solution Approach 1:
The patent introduces a processor as an intermediary between the sensor (capturing occluded images) and the display (showing cleaned images). The processor applies filtering algorithms to remove rain or snow occlusions, acting as a mediator that transforms the degraded visual information into clear, reliable imagery for the driver.
Solution Approach 2:
The patent replaces the mechanical/physical approach of windshield wipers with a digital signal processing approach. Instead of mechanically removing rain or snow from the windshield surface, the system uses computational algorithms to filter occlusions from captured images, substituting mechanical action with electronic processing.
2Reliability
If digital signal processing technologies are applied to filter occlusions, then visibility can be improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent applies filtering algorithms that process only the necessary portions of the image data required to remove occlusions, rather than performing exhaustive analysis on all image pixels. This partial processing approach achieves sufficient visibility improvement without requiring excessive computational resources.
Solution Approach 2:
The system adjusts filtering parameters dynamically based on detected weather conditions and image quality metrics. By changing processing parameters adaptively, the system optimizes the balance between filtering effectiveness and computational complexity, applying stronger filters only when necessary.
Data Source
AI summary
A system for displaying a driving scene to a passenger in a vehicle includes first and second cameras for capturing images of the driving scene; a processor that receives the images from the first and second cameras, applies noise filtering to the received images to at least partially remove occlusions from the images of the driving scene received from the first and second cameras related to a weather condition; and a display that receives the filtered images from the processor after application of the filtering operation and displays the filtered images of the driving scene.