Eye in the sky: condition monitoring of transportation infrastructure using drones Academic Article

abstract

• A study was undertaken into using unmanned aerial vehicles or drones to inspect the condition of a range of transport infrastructure. A road intersection, bridge and railway crossing in the USA were each inspected using two different types of drone. Machine-learning-based feature-identification techniques, developed in an earlier case study of a car parking lot, were then used to extract information automatically from the remotely captured photogrammetric data for each asset. The findings and analysis results will help to optimise future transportation infrastructure health monitoring using unmanned aerial vehicles.

authors

• Puppala, Anand

published proceedings

• PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-CIVIL ENGINEERING

author list (cited authors)

• Congress, S., & Puppala, A.

citation count

• 2

complete list of authors

• Congress, Surya||Puppala, Anand

publication date

• February 2022

publisher

• ICE Publishing  Publisher

published in

• n0965-089XISSN  Journal

keywords

• Bridges
• Machine Learning
• Neural Networks
• Pavements & Roads
• Photogrammetry
• Transportation Infrastructure
• Uavs

Digital Object Identifier (DOI)

• 10.1680/jcien.22.00096

start page

• 40

end page

• 48

volume

• 176

issue

• 1

URL

• http://dx.doi.org/10.1680/jcien.22.00096