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GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality.

David Jurado¹, Juan M Jurado², Lidia Ortega²

¹Computing and Numerical Analysis Department, University of Córdoba, 14071 Córdoba, Spain.

Sensors (Basel, Switzerland)

|February 10, 2021

Summary

This study introduces a smartphone app for visualizing hidden indoor infrastructure using mixed reality. It enables accurate, markerless 3D mapping and real-time visualization for facility management.

Keywords:

ARCore facility management geometric alignment mixed reality real-world scanning

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Area of Science:

Computer Vision
Augmented Reality
Geographic Information Systems (GIS)

Background:

Mixed Reality (MR) offers advanced visualization of virtual objects within real-world contexts, incorporating physical constraints.
Ubiquitous systems like smartphones have advanced 3D capturing through sensor fusion, enabling real-time environment scanning and visualization.
Assessing and maintaining hidden indoor infrastructure (e.g., pipes, electrical lines) is challenging due to their occlusion behind walls.

Purpose of the Study:

To develop a novel smartphone application (GEUINF) for assessing indoor infrastructure status.
To enable real-time visualization and interaction with digitized facility networks onsite.
To provide a markerless approach for accurate 3D data capture and user localization.

Main Methods:

Utilized smartphones with depth-sensing capabilities for capturing 3D data of the real environment.
Developed a markerless approach based on scanning and geometrically aligning real-world planar surfaces with virtual 3D models.
Employed the ARCore library for real-time tracking and alignment between virtual facility networks and the physical environment.

Main Results:

Achieved centimeter-level accuracy in estimating user position and orientation without fixed markers.
Enabled real-time visualization, navigation, and interaction with virtual facility networks overlaid on the real environment.
Successfully aligned 3D planes of the real world with their corresponding virtual entities.

Conclusions:

The GEUINF application offers a disruptive solution for the tedious and inefficient tasks of indoor infrastructure assessment and maintenance.
The markerless, real-time visualization capability significantly enhances onsite understanding of hidden facilities.
The method has potential applications for facility management by private companies and public institutions, and for integration with indoor navigation systems.