Darkness Visible – Accurate Distance Estimation With a Night Vision Device

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Authors
  1. Niall, K.K.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Abstract
The unguided visual estimation of depth and distance with night vision devices is often inaccurate. Observers estimate distances more accurately when given metric feedback on their reports of distance. Observers were asked to estimate distances between LED point-lights as seen through night vision goggles. The point-lights varied in azimuth and in elevation to the observer. Two weeks later, observers told distance accurately in the same scene without further feedback. Higher illumination (half-moon conditions rather than starlight) when feedback was administered made for better accuracy and better retention of training. The geometric consistency of observers’ estimates improved with practice alone, unlike the accuracy of their distance estimates. This effect of training was found with a desktop computer display of the same scene, and lasted at least a month.

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Keywords
Night Vision;Distance Estimation;Image Intensifier;Visual Perception;Verbal Feedback
Report Number
DRDC-RDDC-2018-R205 — Scientific Report
Date of publication
01 Nov 2018
Number of Pages
43
DSTKIM No
CA048072
CANDIS No
808767
Format(s):
Electronic Document(PDF)

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