P‐27: ML‐Based Eye Tracking for Augmented Reality Heads‐Up Displays (AR HUDs)

P‐27: ML‐Based Eye Tracking for Augmented Reality Heads‐Up Displays (AR HUDs)

3D Augmented Reality (AR) Heads‐up Displays (HUDs) have the potential of overlaying virtual objects at the correct locations with accurate motion parallax. Accurate overlays require tracking the pupils of the driver's eyes. We developed an ML‐based pupil tracking system based on a convolutional...

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Veröffentlicht in:SID International Symposium Digest of technical papers 2021-05, Vol.52 (1), p.1162-1165
Hauptverfasser: Tur, Ada Defne, Yaralioglu, Deniz, Yilmaz, Cemalettin
Format: Artikel
Sprache:eng
Schlagworte:
Artificial neural networks
Augmented Reality
Convolutional Neural Networks
Displays
Eye movements
Eye tracking
Heads-Up Display
Parallax
Tracking systems
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Zusammenfassung:3D Augmented Reality (AR) Heads‐up Displays (HUDs) have the potential of overlaying virtual objects at the correct locations with accurate motion parallax. Accurate overlays require tracking the pupils of the driver's eyes. We developed an ML‐based pupil tracking system based on a convolutional neural network (CNN) to find the precise location of the pupils.
ISSN:0097-966X
2168-0159
DOI:10.1002/sdtp.14901