Dynamic Parallel Monocular Projection for Parallax-Free HUD Imaging
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Solution Overview
Problem
Current Head Up Display (HUD) systems face challenges in providing high-quality, parallax-free images across a large Field of View (FOV) due to the limitations of a single Head Motion Box (HMB), leading to aberrations, distortions, and increased complexity with multiple optical components, which results in a bulky and expensive system.
Innovation Solution
The Dynamic Parallel Monocular Projection (DPMP) system creates two exit pupils and corresponding image channels that dynamically adjust to the position of each eye within the HMB, using a Multi-Layered Thin Combiner (MLTC) and infrared detection to ensure parallax-free images, reducing the number of optical components and modulation effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single Head Motion Box (HMB) is used in HUD systems, then the system structure is simpler, but image quality deteriorates due to aberrations, distortions, and defocusing caused by eye parallax
Solution Approach 1:
The single HMB is divided into multiple sub-HMBs, each corresponding to a specific eye position. This segmentation allows each sub-HMB to provide optimized optical paths for specific eyes, eliminating the need for complex correction optics while maintaining high image quality across different eye positions.
Solution Approach 2:
The system dynamically determines the observer's eye position and selectively activates corresponding sub-HMBs or adjusts optical parameters in real-time. This dynamic adaptation allows the system to maintain optimal image quality without requiring a fixed complex optical structure that would work for all possible eye positions.
2Manufacturing precision
If multiple optical components are added to correct aberrations and distortions, then image quality improves, but device complexity and volume increase
Solution Approach 1:
Instead of adding correction optics to a single HMB, the system segments the HMB into multiple sub-HMBs, each inherently optimized for specific eye positions. This eliminates the need for additional correction components while maintaining high image quality.
Solution Approach 2:
The system creates multiple virtual copies of the image through different sub-HMBs, each tailored to specific eye positions. This approach avoids the need for complex physical correction optics by using multiple simplified optical paths instead.
3Area of stationary object
If the HMB size is increased to accommodate both eyes simultaneously, then the field of view expands, but the system volume and weight increase
Solution Approach 1:
The large HMB is segmented into multiple smaller sub-HMBs distributed across the optical path. Each sub-HMB serves a specific eye position, allowing the system to achieve a large effective field of view without requiring a single large, heavy HMB structure.
Solution Approach 2:
Instead of expanding the HMB size in a single dimension, the system distributes multiple sub-HMBs across different spatial positions and orientations. This dimensional distribution achieves equivalent or superior field of view coverage with reduced overall system volume and weight.
4Area of stationary object
If a large aperture is used in the projection unit, then the field of display increases, but the enclosure volume requirements increase
Solution Approach 1:
The large aperture projection is segmented into multiple smaller projection channels, each serving specific eye positions. This segmentation allows the system to achieve a large effective field of display without requiring a single large-volume projection enclosure.
Solution Approach 2:
The system distributes multiple projection channels across different spatial dimensions rather than concentrating a single large aperture. This dimensional distribution achieves equivalent field of display coverage with reduced enclosure volume requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
DPMP provides high-quality, parallax-free images across a large FOV with reduced optical component complexity and volume requirements, enhancing image quality and reducing the system's weight and cost.
Implementation Method 1
a Multi-Layered Thin Combiner (MLTC), comprising an infra-red (IR) light source and an IR detection sensor, wherein the MLTC is configured to trace IR light from the IR light source to the HMB
Implementation Method 2
wherein the MLTC is configured to acquire reflections of IR light from the observer's eyes using the IR detection sensor, thereby locating the position of the observer's eyes within the HMB
Implementation Method 3
the at least one optical modulator is configured to dynamically and individually modulate images for each of two exit pupils in amplitude and phase distribution corresponding to the position of the observer's eyes
Data Source
AI summary
A Dynamic Parallel Monocular Projection (DPMP) system for the provision of dynamically adjusted images to a Head Motion Box (HMB) is provided herein. The DPMP may include a picture generation unit (PGU); a projection unit, further comprising a displaying unit and at least one optical modulator, a Multi-Layered Thin Combiner (MLTC), comprising an infra-red (IR) light source and an IR detection sensor, thereby enabling the provision of images adjusted to the individual location of the observer's eyes within the HMB.