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P‐27: ML‐Based Eye Tracking for Augmented Reality Heads‐Up Displays (AR HUDs)
Author(s) -
Tur Ada Defne,
Yaralioglu Deniz,
Yilmaz Cemalettin
Publication year - 2021
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.14901
Subject(s) - augmented reality , computer science , overlay , parallax , computer graphics (images) , computer vision , artificial intelligence , convolutional neural network , tracking (education) , virtual reality , eye tracking , pupil , optics , psychology , pedagogy , physics , programming language
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.