Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Three-Dimensional Coordinate Calibration Models for Augmented Reality Applications in Indoor Industrial Environments

Version 1 : Received: 10 September 2023 / Approved: 12 September 2023 / Online: 13 September 2023 (05:17:55 CEST)

A peer-reviewed article of this Preprint also exists.

Nunes, J.S.; Almeida, F.B.C.; Silva, L.S.V.; Santos, V.M.S.O.; Santos, A.A.B.; de Senna, V.; Winkler, I. Three-Dimensional Coordinate Calibration Models for Augmented Reality Applications in Indoor Industrial Environments. Appl. Sci. 2023, 13, 12548. Nunes, J.S.; Almeida, F.B.C.; Silva, L.S.V.; Santos, V.M.S.O.; Santos, A.A.B.; de Senna, V.; Winkler, I. Three-Dimensional Coordinate Calibration Models for Augmented Reality Applications in Indoor Industrial Environments. Appl. Sci. 2023, 13, 12548.

Abstract

The calibration of three-dimensional (3D) coordinates in augmented reality (AR) systems is a complex activity. It involves the recognition of environmental characteristics and technology that models the 3D space of the device, determining its position and orientation. In the industrial environment, it is common for AR applications to cover large spaces, making it difficult to maintain attributes such as precision and accuracy. The set of sensors and mapping algorithms available in HoloLens stimulate the development of virtual reality (VR) applications, in particular localization techniques. This study proposes calibration models of the 3D coordinates of the HoloLens for indoor industrial environments. The performance of tests in a relevant environment provides data necessary to evaluate the performance of the proposed models in terms of precision and accuracy in determining point coordinates in the study environment. The results show improvements in determining the axes that define the 3D space, with a direct influence on the position of the points observed in the experiment

Keywords

HoloLens; Calibration; Industry; Augmented Reality; Indoor

Subject

Computer Science and Mathematics, Computer Vision and Graphics

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