Authors: Youngjib Ham, Kevin K. Han, Jacob J Lin and Mani Golparvar-Fard

 
Journal: Visualization in Engineering
 
Publisher: Springer Open
 
Abstract
 
Over the past few years, the application of camera-equipped Unmanned Aerial Vehicles (UAVs) for visually monitoring construction and operation of buildings, bridges, and other types of civil infrastructure systems has exponentially grown. These platforms can frequently survey construction sites, monitor work-in-progress, create documents for safety, and inspect existing structures, particularly for hard-to-reach areas. The purpose of this paper is to provide a concise review of the most recent methods that streamline collection, analysis, visualization, and communication of the visual data captured from these platforms, with and without using Building Information Models (BIM) as a priori information. Specifically, the most relevant works from Civil Engineering, Computer Vision, and Robotics communities are presented and compared in terms of their potential to lead to automatic construction monitoring and civil infrastructure condition assessment.
 
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Illustration Photo: drone (Public Domain from Pixabay.com)

Comments

No comments to display.

Adalidda, Online Community dedicated to International Development, Innovation and Sustainability
Email: info@adalidda.com  Skype: adalidda  WhatsApp/Telegram: +85577778919
 Adalidda is published by Smart International Consulting, an international consulting firm specialized in the management of foreign direct investment in the Southeast Asia and West Africa.

Website version 3.4.2 Copyright 2017-2016 Adalidda/Smart International Consulting