Methodology for Infrastructure Site Monitoring using Unmanned Aerial Vehicles (UAVs)

Casierra, Cristian Benjamín García; Garcia Casierra, Cristian Benjamin; Sánchez, Carlos Gustavo Calle; Calle Sanchez, Carlos Gustavo; García, Javier Ferney Castillo; Castillo Garcia, Javier Ferney; Rivera, Felipe Muñoz La; La Rivera, Felipe Munoz

Abstract

© 2022. International Journal of Advanced Computer Science and Applications. All Rights Reserved.Monitoring a work of infrastructure allows one to know the state of this and the efficiency of the workers. The follow-up is a work carried out by the auditor, which sails to correspond with the design in planes. It takes fulfillment in the budgeted one and complies with the established times. This work uses classical topography elements, which demand time and money and the implications on the safety issue of non-construction personnel. To avoid this, this project implements a methodology capable of carrying out the task of monitoring civil work. An unmanned aerial vehicle or drone is used, which are small remotely controlled flying devices that in recent years have become an extremely useful tool in activities that human beings cannot perform or that threaten their integrity. For the realization of this work, a drone Quadcopter Phantom 3 Standard is used, responsible for taking photographs; these are loaded in the software Agisoft Metashape Professional that by photogrammetry techniques allows digital processing of images, generating a 3D vision, cloud of dots, digital surface model and distance measurement. By obtaining this information, it is possible to make a match with the work schedule and detect delays or advances in a precise way.

Más información

Título según WOS: ID WOS:000798620800001 Not found in local WOS DB
Título según SCOPUS: Methodology for Infrastructure Site Monitoring using Unmanned Aerial Vehicles (UAVs)
Título de la Revista: International Journal of Advanced Computer Science and Applications
Volumen: 13
Fecha de publicación: 2022
Página de inicio: 340
Página final: 348
DOI:

10.14569/IJACSA.2022.0130342

Notas: ISI, SCOPUS