UAVs and GIS: An Innovative System for Monitoring Structures-Reference-Cited by-同舟云学术

UAVs and GIS: An Innovative System for Monitoring Structures

Published:2022-12-31 Issue: Volume:17 Page:616-625
ISSN:2224-2856
Container-title:WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
language:en
Short-container-title:

Author:

Barrile Vincenzo¹,Bilotta Giuliana¹,Genovese Emanuela¹,Meduri Giuseppe Maria¹,Fotia Antonino²

Affiliation:

1. Department of civil engineering, energy, environment and materials (DICEAM), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALY

2. Department of Heritage, Architecture, Urban Planning (PAU), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALY

Abstract

In the last years, Unmanned Aerial Vehicle (UAV) – systems have become relevant for multiple purposes in different fields of study. The purpose of this work is presenting an innovative experimental system for the assessment of the structural conditions of buildings and infrastructures through continuous monitoring stations based on the use of UAVs. This allows the automation in the monitoring of artifacts that present structural criticalities. The system consists in the acquisition, processing, and selection of images from a group of drones flying from wireless charging stations, whose data are then transmitted to a cloud platform which identifies defects and transmits them to an online Web-GIS platform. This will be the tool for viewing all elements that need maintenance. In addition to the improvement in the automation of data processing and in the precision of their selection, we will analyze an experimental procedure that uses different algorithms for damage detection.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Reference35 articles.

1. S. Ogawa, K. Matsushima and O. Takahashi, Efficient Pavement Crack Area Classification Using Gaussian Mixture Model Based Features, International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE), Bali, Indonesia, 2019, pp. 75-80. Doi: 10.1109/MoRSE48060.2019.8998713

2. T. N. Tonkin and N. G. Midgley, GroundControl Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry, Remote Sens., Vol.8, Issue 9, 2016, pp. 786. Doi: https://doi.org/10.3390/rs8090786

3. B. Sekeroglu, K. Tuncal, Image Processing in Unmanned Aerial Vehicles, Al-Turjman F. (eds) Unmanned Aerial Vehicles in Smart Cities. Unmanned System Technologies, Springer, Cham, 2020, pp. 167-179. Doi: https://doi.org/10.1007/978-3-030-38712- 9_10

4. F. Dadrasjavan, N. Zarrinpanjeh, A. Ameri, Automatic Crack Detection of Road Pavement Based on Aerial UAV Imagery, Preprints, 2019, 2019070009. Doi: 10.20944/preprints201907.0009.v1

5. S. Chen, L. Truong-Hong, D. F. Laefer, E. Mangina, (2018), Automated Bridge Deck Evaluation through UAV Derived Point Cloud, CERI-ITRN2018, Dublin, Ireland, 2018, pp. 735-740.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Geomatics Techniques for Cultural Heritage Mapping and Creation of an Unsafe Buildings’ Cadastre;WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT;2023-09-11

2. Geomatics Methods and Soft Computing Techniques for the Management of Public Transport and Distribution of Medical Goods;WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT;2023-05-04