July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Assessment of visual acuity requirements for autonomous vehicle operation.
Author Affiliations & Notes
  • Daliya Dzhaber
    Cornea, Cataract, and External Diseases, Wilmer Eye Institute, Baltimore, Maryland, United States
  • Alan Shan
    Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Ryan S Meshkin
    Harvard Medical School, Boston, Massachusetts, United States
  • Marjan Tofigh
    Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Gelareh Vakili
    Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
  • Allen O Eghrari
    Cornea, Cataract, and External Diseases, Wilmer Eye Institute, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Daliya Dzhaber, None; Alan Shan, None; Ryan Meshkin, None; Marjan Tofigh, None; Gelareh Vakili, None; Allen Eghrari, None
  • Footnotes
    Support  This work was supported by the Research to Prevent Blindness Sybil B. Harrington Special Scholar Award and the generosity of the Blankman Family.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1053. doi:
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      Daliya Dzhaber, Alan Shan, Ryan S Meshkin, Marjan Tofigh, Gelareh Vakili, Allen O Eghrari; Assessment of visual acuity requirements for autonomous vehicle operation.. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1053.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To determine if necessary indicators for use of autonomous driving technology can be visualized by drivers with mild to moderate vision impairment in currently available vehicles.

Methods : A near card was placed on the dashboard surface of a Tesla Model X and images of the dashboard were acquired at 14 inches with a 12MP digital camera. Images were uploaded into GIMP 2.0 software. Three graders measured the number of pixels for height of letters on both the near card and the dashboard, and results were averaged across graders. The minimum level of visual acuity required to visualize height of letters was calculated based on the near card at 14 inches and converted to 42 inches distance.

Results : At 42 inches, the current speed could be visualized with best corrected visual acuity of 20/150. However, important indicators of range, street names, and maximum speed could not be visualized with visual acuity of 20/70.

Conclusions : In a common commercially available vehicle with autonomous functions, some but not all indicators are visible for drivers with 20/70 best corrected visual acuity. We propose the development of an “enhanced accessibility mode” to optimize use for drivers with mild to moderate visual impairment, who may benefit most from availability of such technology.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

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