全像投影之雙視距多色抬頭顯示器

本論文提出一個基於LCoS全像多色投影之雙視距車用抬頭顯示器(Head up display, HUD)，使用虛像投射概念設計，由雷射光源、自由曲面鏡、LCoS反射式面板，以及控制電路等組成，能使駕駛視線不離開行進方向路面的情況下，查看各項行車資訊，並保持行車中的安全。本論文以全像投影畫面作為顯示光源作為研究，相較於現今市售的車用抬頭顯示器多為嵌入式LCD顯示器投射為主，其系統受限於其面板大小、投影距離短且固定，能給予駕駛有限的視覺輔助。本研究能使用單一LCoS面板來達到多深度的投影，經由Code V模擬軟體設計出一雙深度的自由曲面鏡，遠近處的投影畫面分別為7公尺及2.5公尺，使其視場角(Field of View, FOV )達到分別為15°× 3°及6°× 2°，並且駕駛能在100毫米* 50毫米的eyebox範圍內，在近處(2.5公尺)觀看到一般的駕駛資訊如時速和油箱標誌，而在遠處(7公尺) 觀看到AR(Augmented Reality)的導航影像。本研究是使用空間分工的方式來達到雙深度及多色的抬頭顯示器，由於抬頭顯示器體積需要盡可能縮小以及利用空間分工來達到混光，使最終優化後的系統中之影像有些許變形。為了消除此變形問題，本論文也進行了變形校正的理論並實際以演算法作修正。最後將設計出的系統的進行搭建，來驗證HUD系統的FOV、eyebox以及變形修正效果。

關鍵字

抬頭顯示器；液晶覆矽；元宇宙；全像投影；擴增實境；變形修正

並列摘要

We propose a dual-focal-plane multi-color head-up display (HUD) based on LCoS holographic projection with virtual image.The HUD system consists of a laser light source, a freeform mirror, a LCoS reflective panel, and a control circuit. When the driver's sight does not leave the road in the direction of travel, check various driving information and maintain safety in driving. Compared with current commercial head-up displays based on LCD for vehicles, most of them are limited in short and fixed projection distance, and small projection area. In this study, a single LCoS panel can be used to achieve multi-depth projection. A pair of deep freeform mirrors are designed through the Code V simulation software. Field of View(FOV) reaches 15° × 3° and 6° × 2° respectively, and the driving can view general driving information in an eyebox of 100 mm by 50 mm. Speed and fuel tank signs can be seen at near distance (2.5 meters), and AR (Augmented Reality) navigation images can be seen at far distance (7 meters). In this study, the space-division multiplexing is used to achieve dual-depth and multi-color head-up displays. Since the volume of the head-up display needs to be reduced as much as possible and the space-division method is used to achieve light mixing, the images in the final optimized system are slightly deformed. In order to eliminate this distortion problem, we also carry out the theory of distortion correction and actually use the algorithm to correct it. Finally, the designed system is built to verify the FOV, eyebox and distortion correction effects of the HUD system.