EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments

dc.contributor.authorHrabia, Christopher-Eyk
dc.contributor.authorHessler, Axel
dc.contributor.authorXu, Yuan
dc.contributor.authorSeibert, Jacob
dc.contributor.authorBrehmer, Jan
dc.contributor.authorAlbayrak, Sahin
dc.date.accessioned2019-03-04T10:42:05Z
dc.date.available2019-03-04T10:42:05Z
dc.date.issued2019-02-25
dc.description.abstractThe number of unmanned aerial system (UAS) applications for supporting rescue forces is growing in recent years. Nevertheless, the analysis of sensed information and control of unmanned aerial vehicle (UAV) creates an enormous psychological and emotional load for the involved humans especially in critical and hectic situations. The introduced research project EffFeu (Efficient Operation of Unmanned Aerial Vehicle for Industrial Firefighters) especially focuses on a holistic integration of UAS in the daily work of industrial firefighters. This is done by enabling autonomous mission-guided control on top of the presented overall system architecture, goal-oriented high-level task control, comprehensive localisation process combining several approaches to enable the transition from and to GNSS-supported and GNSS-denied environments, as well as a deep-learning based object recognition of relevant entities. This work describes the concepts, current stage, and first evaluation results of the research project.en
dc.description.sponsorshipDFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlinen
dc.description.sponsorshipBMBF, 13N14093, Verbundprojekt: Effizienter Einsatz von unbemannten Flugsystemen für Werkfeuerwehren (EffFeu) - Teilvorhaben: Intelligente Unbemannte Flugsystemede
dc.identifier.eissn1424-8220
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9193
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8279
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otherdecisional autonomyen
dc.subject.otherdecision-makingen
dc.subject.otherplanningen
dc.subject.otherobject recognitionen
dc.subject.otherdeep learningen
dc.subject.otherGNSS-denied localisationen
dc.titleEffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environmentsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber973en
dcterms.bibliographicCitation.doi10.3390/s19040973en
dcterms.bibliographicCitation.issue4en
dcterms.bibliographicCitation.journaltitleSensorsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume19en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Wirtschaftsinformatik und Quantitative Methoden>FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.instituteInst. Wirtschaftsinformatik und Quantitative Methodende
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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