eprintid: 2564
rev_number: 7
eprint_status: archive
userid: 285
dir: disk0/00/00/25/64
datestamp: 2017-08-03 02:21:47
lastmod: 2017-08-03 02:21:47
status_changed: 2017-08-03 02:21:47
type: conference_item
metadata_visibility: show
creators_name: Phung, Manh Duong
creators_name: Hoang, Van Truong
creators_name: Dinh, Tran Hiep
creators_name: Ha, Quang
creators_id: duongpm@vnu.edu.vn
creators_id: tranhiep.dinh@vnu.edu.vn
creators_id: quang.ha@uts.edu.au
title: Automatic Crack Detection in Built Infrastructure Using Unmanned Aerial Vehicles
ispublished: pub
subjects: ECE
divisions: fac_fet
abstract: This paper addresses the problem of automatic inspection by means of Unmanned Aerial Vehicles (UAV) for health monitoring of infrastructure. Our approach comprises two stages, data collection using unmanned aerial vehicles and image processing with histogram analysis. For the data collection, a 3D model of the monitored structure is first created by using vision-based sensors attached on the UAV. Based on the model developed, geometrical properties are extracted to generate way points necessary for navigating the UAV for image capturing of the structure of different materials, for example, concrete. From the images obtained, our next step is to stick them together using the overlapped field of view. We then create histograms of the stuck images and detect peaks based on cosine similarity. We finally identify a potential crack or surface defect as location of the histogram peaks. The whole process is automatically carried out so that the inspection time is significantly improved while minimising any safety hazards that may be encountered in the UAV inspection process. A prototypical system has been developed with obtained results being evaluated and verified to show its validity.
date: 2017-07-31
date_type: published
official_url: http://www.iaarc.org/publications/2017_proceedings_of_the_34rd_isarc/automatic_crack_detection_in_built_infrastructure_using_unmanned_aerial_vehicles.html
full_text_status: public
pres_type: paper
pagerange: 823-829
event_title: The 34th International Symposium on Automation and Robotics in Construction (ISARC)
event_location: Taipei, Taiwan
event_dates: July 2017
event_type: conference
refereed: TRUE
related_url_url: http://uet.vnu.edu.vn/~duongpm/
related_url_type: author
citation:   Phung, Manh Duong and Hoang, Van Truong and Dinh, Tran Hiep and Ha, Quang  (2017) Automatic Crack Detection in Built Infrastructure Using Unmanned Aerial Vehicles.  In: The 34th International Symposium on Automation and Robotics in Construction (ISARC), July 2017, Taipei, Taiwan.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2564/1/ISARC2017-Paper115.pdf