Augmented reality projection errors in maritime navigation

Abstract Augmented reality (AR) is a technology designed to display three-dimensional virtual elements in a real environment. This technology could reduce the cognitive load of marine operators by simplifying information interpretation. However, field tests often reveal qualitative reports of inaccurately projected virtual elements. To address this issue, we present a theoretical model to quantify the error between virtual projections and their observed positions. Numerical simulations, using normal random variables, indicate agreement between the predicted model variance and the error’s standard deviation. Furthermore, a real navigation experiment is conducted where observed errors are inferior to corresponding estimates for error bounds, further indicating the model’s adequacy. The proposed model enables real-time error estimation, system performance prediction and the specification of accuracy requirements. Overall, this study aims to contribute to the systematic definition of accuracy standards for AR-based maritime navigational assistance.

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Publication Details

Journal
Journal of Navigation
Published
2024-09-01
DOI
https://doi.org/10.1017/s0373463325101021
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
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article

Augmented reality projection errors in maritime navigation

Helio Takahiro Sinohara, Bruno Giordano Leite, Eduardo A. Tannuri
Journal of Navigation
Augmented Reality Applications
article

Augmented reality projection errors in maritime navigation

Helio Takahiro Sinohara, Bruno Giordano Leite, Eduardo A. Tannuri
article en

Abstract

Abstract Augmented reality (AR) is a technology designed to display three-dimensional virtual elements in a real environment. This technology could reduce the cognitive load of marine operators by simplifying information interpretation. However, field tests often reveal qualitative reports of inaccurately projected virtual elements. To address this issue, we present a theoretical model to quantify the error between virtual projections and their observed positions. Numerical simulations, using normal random variables, indicate agreement between the predicted model variance and the error’s standard deviation. Furthermore, a real navigation experiment is conducted where observed errors are inferior to corresponding estimates for error bounds, further indicating the model’s adequacy. The proposed model enables real-time error estimation, system performance prediction and the specification of accuracy requirements. Overall, this study aims to contribute to the systematic definition of accuracy standards for AR-based maritime navigational assistance.

Journal of NavigationVol. 77(5-6)
Universidade de São Paulo (BR), Universidade Estadual do Paraná (BR)
Openalex Percentile: Top 70%
Augmented Reality Applications
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