Document Type

Report

Publication Date

Winter 2024

Abstract

This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical aspects were finalized, the research moved to the implementation phase, where the developed tools were tested in real-world inspections. For instance, AR menu and its connectivity to database have been tested in a pedestrian bridge at the University of New Mexico’s north campus. Key collaborators included various infrastructure stakeholders, with findings disseminated through seminars, publications, and presentations at significant industry conferences such as IWSHM 2023, EMI 2024, and TRB 2024. This project not only advanced bridge inspections and management techniques through bringing advanced technology but also had broader implications for inspecting other infrastructures such as pavements and tunnels.

Comments

Tran-SET Project 22STUNM52

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