State‐of‐the‐art technologies for UAV inspections-Reference-Cited by-同舟云学术

State‐of‐the‐art technologies for UAV inspections

Published:2018-02 Issue:2 Volume:12 Page:151-164
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Jordan Sophie¹^ORCID,Moore Julian¹,Hovet Sierra¹,Box John¹,Perry Jason²,Kirsche Kevin²,Lewis Dexter³,Tse Zion Tsz Ho¹

Affiliation:

1. College of EngineeringThe University of GeorgiaAthensGeorgiaUSA

2. Office of SustainabilityThe University of GeorgiaAthensGeorgiaUSA

3. Southern Company Services, Inc.BirminghamAlabamaUSA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2017.0251

Reference52 articles.

1. Usability assessment of drone technology as safety inspection tools;Irizarry J.;J. Inf. Technol. Constr.,2012

2. Puri A.: ‘A survey of unmanned aerial vehicles (UAV) for traffic surveillance’ Department of Computer Science and Engineering University of South Florida 2005

3. Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system

4. Construction site safety roles;Toole T.M.;J. Constr. Eng. Manag.,2002

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