Vehicle See-Through Display With Driver Eye Alignment
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Solution Overview
Problem
Existing vehicles often have structural components that block the driver's view, creating blind spots and reducing visibility of the external environment.
Innovation Solution
A see-through system is implemented in vehicles, comprising a video camera positioned outside the vehicle to capture obstructed views and a display screen inside the vehicle to render the captured video, creating a see-through effect by aligning the image with the driver's eye position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If structural components are added to support the vehicle roof, then vehicle structural strength is improved, but driver visibility is worsened due to created blind spots
Solution Approach 1:
A see-through display is introduced as an intermediary element between the driver and the obstructing structural component. The display shows video feed from cameras positioned on the exterior, allowing the driver to view areas blocked by structural components without compromising the structural integrity of the vehicle
Solution Approach 2:
The system creates a visual copy of the external environment by capturing images with video cameras and displaying them on the see-through display. This copy allows the driver to perceive areas that are physically blocked by structural components, effectively compensating for the visibility loss
2Loss of information
If a see-through display is implemented to eliminate blind spots, then driver visibility is improved, but device complexity is worsened
Solution Approach 1:
The see-through display utilizes existing vehicle infrastructure components (display screens, camera systems) that are already present in modern vehicles for other purposes. This multi-functional use of existing components reduces the overall system complexity despite adding the see-through capability
Solution Approach 2:
The system automatically determines eye position and adjusts video processing parameters without requiring manual calibration by the driver. The processor autonomously performs eye position determination, video processing, and display rendering based on detected eye position, reducing operational complexity
3Measurement precision
If video processing is customized based on eye position to create accurate see-through effect, then visibility accuracy is improved, but computational requirements are worsened
Solution Approach 1:
The system processes only the specific portion of video data that is relevant to the driver's current view based on eye position, rather than processing the entire video feed. This partial processing approach maintains visibility accuracy while reducing overall computational requirements
Data Source
AI summary
Examples of the disclosure relate to example systems and methods for operating a see-through display for a vehicle. An example system includes a video camera positioned to capture video related to a vehicle structure that blocks a view of the driver. The system also includes a see-through display disposed inside the vehicle between the vehicle structure and the driver. The system also includes a processor configured to determine an eye position of the driver and process the captured video based on the eye position to determine a portion of the captured video to be displayed. The processor is to render the portion of the captured video to create a see-through effect relative to the vehicle structure. To determine the eye position, the processor receives user input for adjusting the portion of the captured video to create a match between the rendered portion and an unobstructed view of the external environment.