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Cooperative UAVs as a Tool for Aerial Inspection of Large Scale Aging Infrastructure
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-7631-002X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-5735-5484
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-2001-7171
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2018 (English)In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Piscataway, NJ: IEEE, 2018, p. 5040-5040Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This work presents an aerial tool towards the autonomous cooperative coverage and inspection of a large scale 3D infrastructure using multiple Unmanned Aerial Vehicles (UAVs). In the presented approach the UAVs are relying only on their onboard computer and sensory system, deployed for inspection of the 3D structure. In this application each agent covers a different part of the scene autonomously, while avoiding collisions. The autonomous navigation of each platform on the designed path is enabled by the localization system that fuses Ultra Wideband with inertial measurements through an Error- State Kalman Filter. The visual information collected from the aerial team is collaboratively processed to create the 3D model. The performance of the overall setup has been experimentally evaluated in realistic wind turbine inspection experiments, providing dense 3D reconstruction of the inspected structures.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018. p. 5040-5040
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858, E-ISSN 2153-0866
National Category
Robotics Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72850DOI: 10.1109/IROS.2018.8593996ISI: 000458872704097ISBN: 978-1-5386-8095-7 (print)ISBN: 978-1-5386-8094-0 (electronic)ISBN: 978-1-5386-8093-3 (print)OAI: oai:DiVA.org:ltu-72850DiVA, id: diva2:1287816
Conference
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),Madrid, Spain,1-5 Oct. 2018
Funder
EU, Horizon 2020
Note

abstarct + video

Available from: 2019-02-12 Created: 2019-02-12 Last updated: 2019-03-27Bibliographically approved

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Kanellakis, ChristoforosMansouri, Sina SharifFresk, EmilKominiak, DariuszNikolakopoulos, George

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