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EagleEYE: Aerial Edge-enabled Disaster Relief Response System

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dc.contributor.authorFebrian Ardiansyah, Muhammad
dc.contributor.authorWilliam, Timothy
dc.contributor.authorIbrahiem Abdullaziz, Osamah
dc.contributor.authorWang, Li-Chun
dc.contributor.authorTien, Po-Lung
dc.contributor.authorYuang, Maria C.
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2020-10-02T13:07:17Z
dc.date.available2020-10-02T13:07:17Z
dc.date.issued2020-09-20
dc.descriptionThis paper has been presented at 2020 European Conference on Networks and Communications (EuCNC).en
dc.description.abstractThe fifth generation (5G) mobile network has paved the way for innovations across vertical industries. The integration of distributed intelligent edge into the 5G orchestrated architecture brings the benefits of low-latency and automation. A successful example of this integration is exhibited by the 5G-DIVE project, which aims at proving the technical merits and business value proposition of vertical industries such as autonomous drone surveillance and navigation. In this paper, and as part of 5G-DIVE, we present an aerial disaster relief system, called EagleEYE, which utilizes edge computing and machine learning to detect emergency situations in real-time. EagleEYE reduces training time by devising an object fusion mechanism which enables reusing existing datasets. Furthermore, EagleEYE parallelizes the detection tasks to enable real-time response. Finally, EagleEYE is evaluated in a real-world testbed and the results show that EagleEYE can reduce the inference latency by 90% with a high detection accuracy of 87%.en
dc.description.sponsorshipThis work has been partially funded by the H2020 EU/TW joint action 5G-DIVE (Grant #859881).en
dc.format.extent5
dc.identifier.bibliographicCitationFebrian Ardiansyah, M., William, T., Ibrahiem Abdullaziz, O., Wang, L.C., Tien, P.L. y Yuang, M.C. (2020).EagleEYE: Aerial Edge-enabled Disaster Relief Response System. In 2020 European Conference on Networks and Communications (EuCNC), pp. 321-325.en
dc.identifier.doihttps://doi.org/10.1109/EuCNC48522.2020.9200963
dc.identifier.isbn978-1-7281-4355-2
dc.identifier.publicationfirstpage321
dc.identifier.publicationlastpage325
dc.identifier.publicationtitle2020 European Conference on Networks and Communications (EuCNC)en
dc.identifier.urihttps://hdl.handle.net/10016/31032
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdate15-18 June 2020en
dc.relation.eventplaceDubrovnik, Croatiaen
dc.relation.eventtitle2020 European Conference on Networks and Communications (EuCNC)en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/859881n
dc.rights© 2020 IEEE.en
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherLow-latency computingen
dc.subject.otherObject detectionen
dc.subject.otherContaineren
dc.subject.otherEdge computingen
dc.titleEagleEYE: Aerial Edge-enabled Disaster Relief Response Systemen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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