scispace - formally typeset
M

Masoud Gheisari

Researcher at University of Florida

Publications -  99
Citations -  2007

Masoud Gheisari is an academic researcher from University of Florida. The author has contributed to research in topics: Computer science & Augmented reality. The author has an hindex of 18, co-authored 74 publications receiving 1169 citations. Previous affiliations of Masoud Gheisari include Mississippi State University & University of Utah.

Papers
More filters
Journal Article

Usability assessment of drone technology as safety inspection tools

TL;DR: In this study, a small-scale aerial drone was used as a tool for exploring potential benefits to safety managers within the construction jobsite and recommendations for the required features of an Ideal Safety Inspection Drone were led.
Journal ArticleDOI

InfoSPOT: A mobile Augmented Reality method for accessing building information through a situation awareness approach

TL;DR: InfoSPOT as mentioned in this paper is a mobile augmented reality (AR) tool for accessing information about the facilities they maintain, which has been considered as a viable option to reduce inefficiencies of data overload by providing FMs with a Situation Awareness (SA)-based tool for visualizing their real-world environment with added interactive data.
Journal ArticleDOI

Applications and requirements of unmanned aerial systems (UASs) for construction safety

TL;DR: The results indicated that the most important safety activities that can be improved using UASs were monitoring boom vehicles or cranes in the proximity of overhead power lines, monitoring activities in the close proximity of boom vehiclesor cranes, and monitoring unprotected edges or openings.
Journal ArticleDOI

PARS: Using Augmented 360-Degree Panoramas of Reality for Construction Safety Training.

TL;DR: This proof-of-concept study developed and evaluated a platform using augmented 360-degree panoramas of reality (PARS) for safety-training applications to enhance trainees’ hazard-identification skills for four types of sample hazards and demonstrated that the trainees found the platform and augmentations advantageously to learning hazard identification.
Journal ArticleDOI

BIM2MAR: An Efficient BIM Translation to Mobile Augmented Reality Applications

TL;DR: This research contributes an efficient and cost-effective solution to integrate BIM into MAR by developing a method and workflow that practitioners can use to consolidate, optimize, and visualize their data and models in an MAR environment.