Freeform OST-HMD system with large exit pupil diameter and vision correction capability

Cheng, Dewen; Duan, Jiaxi; Chen, Hailong; Wang, He; Li, Danyang; Wang, Qiwei; Hou, Qichao; Yang, Tong; Wang, Donghua; Chi, Xiaoyu; Jiang, Bin; Wang, Yongtian

doi:10.1364/prj.440018

Cited by 48 publications

(15 citation statements)

References 38 publications

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“…This optical distortion variation is pupil swim. [6][7][8][9][10][11][12][13] Pupil swim is one of important Visual comfort features in VR/MR headset. However, there are few articles on analysis and measurement of pupil swim.…”

Section: Pupil Swimmentioning

confidence: 99%

50.2: Invited Paper: A Closer Look: Advancements in Near‐Eye Display Testing and Metrology

Zhao¹,

Wang²

2023

Symp Digest of Tech Papers

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This paper discusses the importance of optical testing metrology for near‐eye displays (NED) used in virtual reality (VR) and augmented reality (AR) environments. The accuracy of parameters such as resolution, contrast, field of view, and color accuracy is critical to the effectiveness of NED. However, existing testing methods for these parameters may not consider the visual characteristics of NED. The paper proposes innovative testing methods for evaluating contrast, pupil swim, and pixel per degree (PPD) in NED. The proposed ANSI contrast test method is found to be more suitable for evaluating the contrast of VR headsets than traditional methods. The paper also proposes two advanced PPD testing methods that take into account lens design and image rendering, providing a more accurate and comprehensive evaluation of pixel distribution on screens at different viewing angles. These testing methods have the potential to improve the development of high‐resolution displays and advance our understanding of the perception of visual stimuli.

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Section: Pupil Swimmentioning

confidence: 99%

50.2: Invited Paper: A Closer Look: Advancements in Near‐Eye Display Testing and Metrology

Zhao¹,

Wang²

2023

Symp Digest of Tech Papers

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“…With the fast development of aberration theory [4,5] and optical manufacturing technologies [6,7], freeform surfaces have been applied in many different areas, such as LED illumination [8,9], head-mounted displays [10,11], hyperspectral systems [12], remote sensing systems [13], and so on. Many scholars have explored various automated design methods for freeform surfaces, such as the Simultaneous Multiple Surface (SMS) method [14,15] and partial differential equations (PDEs) method [16,17].…”

Section: Introductionmentioning

confidence: 99%

Automated design of freeform imaging systems for automotive head-up display applications

Ma¹,

Fan²,

Wei³

et al. 2023

Preprint

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Freeform imaging system is playing a significant role in developing an optical system for the automotive head-up display (HUD), which is a typical application of augmented reality (AR) technology. There exists a strong necessity to develop automated design algorithms for automotive HUDs due to its high complexity of multi-configuration caused by movable eyeballs as well as various drivers’ heights, correcting additional aberrations introduced by the windshield, variable structure constraints originated from automobile types, which, however, is lacking in current research community. In this paper, we propose an automated design method for the automotive AR-HUD optical systems with two freeform surfaces as well as an arbitrary type of windshield. With optical specifications of sagittal and tangential focal lengths, and required structure constraints, our given design method can generate an initial structure with high image quality automatically, and then the final system is realized by our proposed iterative optimization algorithms with superior performances due to the extraordinary starting point. Two examples of AR-HUD systems at different structures are realized automatically by our presented automated design algorithms. Both AR-HUD designs can have superior optical performance for an eye-box of 130mm×50mm and a field of view of 13°×5°, which demonstrates the feasibility and superiority of our proposed design framework.

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“…At present, spherical and aspherical surfaces are used widely in optical systems. In recent years, freeform surfaces have been used successfully in illumination systems, [1][2][3][4][5][6] spectrometers, [7][8][9] telescopes, [10][11][12] helmet display systems, [13][14][15][16] and lithography systems. [17,18] A general automatic design method should cover the design of systems that contain these different surface types.…”

Section: Introductionmentioning

confidence: 99%

Towards Automatic Design of Reflective Optical Systems

Liu

Zhu

2023

Advanced Photonics Research

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Traditional optical design processes can only obtain a few design solutions after a time‐consuming trial‐and‐error process. During this process, how to select the numbers and sequence of surfaces of different types (spherical, aspherical, and freeform) required by the system remains a difficult problem. Currently, no automatic design method is available for reflective optical systems that contain multiple surface types. Therefore, an automatic design framework for reflective systems is proposed that can output a series of design results with various combinations of surface types automatically after input specifications and constraints. In the first design example, 76 design results with imaging qualities near the diffraction limit are obtained that have 11 different surface type combinations. This framework realizes the automatic design of this type of system, paving the way toward general automatic optical design and significantly improving the efficiency of the optical design process. Using this framework, the numbers and sequence of the surfaces of different types required by the optical system can be determined reasonably, solving a difficult problem that has long puzzled designers. The proposed framework reduces the requirement for design experience and allows more people to participate in optical design processes.

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Freeform OST-HMD system with large exit pupil diameter and vision correction capability

Cited by 48 publications

References 38 publications

50.2: Invited Paper: A Closer Look: Advancements in Near‐Eye Display Testing and Metrology

50.2: Invited Paper: A Closer Look: Advancements in Near‐Eye Display Testing and Metrology

Automated design of freeform imaging systems for automotive head-up display applications

Towards Automatic Design of Reflective Optical Systems

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