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Main Title: EffFeu Project: Towards Mission-Guided Application of Drones in Safety and Security Environments
Author(s): Hrabia, Christopher-Eyk
Hessler, Axel
Xu, Yuan
Seibert, Jacob
Brehmer, Jan
Albayrak, Sahin
Type: Article
Language Code: en
Abstract: The 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.
Issue Date: 25-Feb-2019
Date Available: 4-Mar-2019
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): decisional autonomy
object recognition
deep learning
GNSS-denied localisation
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlin
BMBF, 13N14093, Verbundprojekt: Effizienter Einsatz von unbemannten Flugsystemen für Werkfeuerwehren (EffFeu) - Teilvorhaben: Intelligente Unbemannte Flugsysteme
Journal Title: Sensors
Publisher: MDPI
Publisher Place: Basel
Volume: 19
Issue: 4
Article Number: 973
Publisher DOI: 10.3390/s19040973
EISSN: 1424-8220
Appears in Collections:FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) » Publications

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