2023
DOI: 10.3390/photonics10090954
|View full text |Cite
|
Sign up to set email alerts
|

AR-HUD Optical System Design and Its Multiple Configurations Analysis

Qubo Jiang,
Zhiyuan Guo

Abstract: The use of augmented reality head-up displays (AR-HUD) in automobile safety driving has drawn more and more interest in recent years. An AR-HUD display system should be developed to fit the vehicle and the complicated traffic environment in order to increase the driver’s driving concentration and improve the man–vehicle synchronization. In this article, we suggest an AR-HUD display system with dual-layer virtual-image displays for the near field and far field, as well as further research and design of the adju… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…Two image planes can be achieved by employing two PGUs in a dual optical route separation design at the expense of an enlarged system volume [71]. Recently, an HUD with dual-layer display functionality that used a coupling architecture of near-field and far-field dual optical routes was proposed [72]. The near-field image plane was set to 2 m, and the far one was set to a distance of 8-24 m. The FOVs were 6 • × 2 • and 10 • × 3 • , respectively.…”
Section: Multi-image Distancementioning
confidence: 99%
“…Two image planes can be achieved by employing two PGUs in a dual optical route separation design at the expense of an enlarged system volume [71]. Recently, an HUD with dual-layer display functionality that used a coupling architecture of near-field and far-field dual optical routes was proposed [72]. The near-field image plane was set to 2 m, and the far one was set to a distance of 8-24 m. The FOVs were 6 • × 2 • and 10 • × 3 • , respectively.…”
Section: Multi-image Distancementioning
confidence: 99%