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Automotive augmented reality 3D head-up display based on light-field rendering with eye-tracking
Author(s) -
Jinho Lee,
Igor Yanusik,
Yoonsun Choi,
Byongmin Kang,
Chansol Hwang,
Juyong Park,
Dongkyung Nam,
SungHoon Hong
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.404318
Subject(s) - rendering (computer graphics) , computer science , light field , stereoscopy , computer vision , computer graphics (images) , automotive industry , ray tracing (physics) , optics , artificial intelligence , virtual reality , field of view , eye tracking , holographic display , physics , holography , thermodynamics
We explore the feasibility of implementing stereoscopy-based 3D images with an eye-tracking-based light-field display and actual head-up display optics for automotive applications. We translate the driver's eye position into the virtual eyebox plane via a "light-weight" equation to replace the actual optics with an effective lens model, and we implement a light-field rendering algorithm using the model-processed eye-tracking data. Furthermore, our experimental results with a prototype closely match our ray-tracing simulations in terms of designed viewing conditions and low-crosstalk margin width. The prototype successfully delivers virtual images with a field of view of 10° × 5° and static crosstalk of <1.5%.

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