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Autonomous collection of ground truth data by unmanned aerial vehicles instructed using SMS text messages

dc.contributor.authorWilliamson, Alex A.
dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorXu, Zhengjia
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2023-05-15T10:39:28Z
dc.date.available2023-05-15T10:39:28Z
dc.date.freetoread2023-05-15
dc.date.issued2020-02-17
dc.date.pubOnline2020-02-17
dc.description.abstractThis paper describes a solution to increase the efficiency of collecting agricultural ground truth data by the use of one or more off-the-shelf drones to autonomously collect high quality RGB image data at low level, through the incorporation of a bespoke smartphone application that receives routing path-planned location data in the form of Short Message Service (SMS) text messages.en_UK
dc.description.conferencename2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS)
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): CASCADEen_UK
dc.identifier.citationWilliamson A, Mondal S, Xu Z, Tsourdos A. (2019) Autonomous collection of ground truth data by unmanned aerial vehicles instructed using SMS text messages. In: 2019 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED UAS), 25-27 November 2019, Cranfield, UK
dc.identifier.eisbn978-1-7281-6600-1
dc.identifier.isbn978-1-7281-6601-8
dc.identifier.urihttps://doi.org/10.1109/REDUAS47371.2019.8999680
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19644
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAndroid Applicationen_UK
dc.subjectAutonomous ground truthen_UK
dc.titleAutonomous collection of ground truth data by unmanned aerial vehicles instructed using SMS text messagesen_UK
dc.typeConference paperen_UK
dcterms.coverageCranfield, UK
dcterms.temporal.endDate27 Nov 2019
dcterms.temporal.startDate25 Nov 2019

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