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Autonomous path follow UAV to assist onshore pipe inspection tasks

2022Conference paper Open access
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dc.contributor.authorSousa, Lucas C.
dc.contributor.authorSilva, Yago M.R. da
dc.contributor.authorCastro, Gabriel G.R.
dc.contributor.authorSouza, Caio L.
dc.contributor.authorBerger, Guido
dc.contributor.authorLima, José
dc.contributor.authorBrandão, Diego
dc.contributor.authorDias, João T.
dc.contributor.authorPinto, Milena F.
dc.date.accessioned2013-04-19T10:51:42Z
dc.date.available2013-04-19T10:51:42Z
dc.date.issued2022
dc.description.abstractUnmanned Aerial Vehicles (UAVs) are being deployed in different applications due to their reduced time execution to perform tasks, more extensive coverage area, and more risk minimization to humans. In the Oil & Gas industry, its use for inspection activities is even more attractive due to the large structures in these facilities. Therefore, this research proposes deploying an autonomous UAV system to inspect unburied pipelines of onshore O&G facilities. The proposed UAV guiding system is based on image processing techniques Canny edge detection and Hough Transform to detect the line and on a path follower algorithm to generate the trajectory. The proposed strategy was developed in Robot Operating System (ROS) and tested in a simulated environment considering the practical oper-ational. The same controller was tested on a physical UAV to validate the results obtained in previous simulations. The results demonstrated the effectiveness and feasibility of deploying the proposed strategy for this specific task and the cost reduction potential for real-life operations, as well as reduced potential risks to the physical integrity of the workers.por
dc.identifier.citationSousa, Lucas C.; Silva, Yago M.R. da; Castro, Gabriel G.R.; Souza, Caio L.; Berger, Guido; Lima, José; Brandão, Diego; Dias, João T.; Pinto, Milena F. (2022). Autonomous path follow UAV to assist onshore pipe inspection tasks. In 7th International Conference on Robotics and Automation Engineering (ICRAE). p. 112-117. 18-20 November, Singapore. ISBN 978-1-6654-8918-8por
dc.identifier.doi10.1109/ICRAE56463.2022.10056192
dc.identifier.isbn978-1-6654-8918-8
dc.identifier.urihttp://hdl.handle.net/10198/8357
dc.language.isoengpor
dc.publisherIEEE
dc.subjectPipeline inspectionpor
dc.subjectUnmanned aerial vehicle
dc.subjectComputer vision
dc.subjectOil and gas industry
dc.titleAutonomous path follow UAV to assist onshore pipe inspection taskspor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.title7th International Conference on Robotics and Automation Engineering (ICRAE)por
person.familyNameBerger
person.familyNameLima
person.givenNameGuido
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id931A-887B-D75D
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-4100-1494
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationaf502b94-c812-4efb-abb5-4d61a678a06b
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055

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