@inproceedings{89d22e286bd74ab48a8657316587a38a,
title = "UAS-Based Airport Maintenance Inspections: Lessons Learned from Pilot Study Implementation",
abstract = "Unmanned aircraft systems (UAS) can be used to collect visual assets such as 2D geo-referenced and infrared images. These 2D images can be converted into 3D point clouds through the UAS photogrammetry process. Such point clouds can then be utilized to detect obstructions around airports. This research describes the process of data collection, using UAS at airports to analyze point cloud data and document the potential implications of UAS-based airport inspections. Two field tests were conducted and three different UAS platforms were deployed. The Point Cloud Library (PCL) was employed to detect and measure trees around runways. The main contribution of this study is the provision of an overview of how UAS and visual assets can be used for airport inspections, in order to improve work efficiency and reduce human error.",
author = "Sungjin Kim and Daniel Paes and Kyuman Lee and Javier Irizarry and Johnson, {Eric N.}",
note = "Publisher Copyright: {\textcopyright} 2019 American Society of Civil Engineers.; ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019 ; Conference date: 17-06-2019 Through 19-06-2019",
year = "2019",
doi = "10.1061/9780784482445.049",
language = "English",
series = "Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "382--389",
editor = "Cho, {Yong K.} and Fernanda Leite and Amir Behzadan and Chao Wang",
booktitle = "Computing in Civil Engineering 2019",
address = "United States",
}