decisional autonomy;
decision-making;
planning;
object recognition;
deep learning;
GNSS-denied localisation;
D O I:
10.3390/s19040973
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
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.
机构:
TU Wien, Inst Comp Engn, Vienna, AustriaTU Wien, Inst Comp Engn, Vienna, Austria
Hollerer, Siegfried
Kastner, Wolfgang
论文数: 0引用数: 0
h-index: 0
机构:
TU Wien, Inst Comp Engn, Vienna, AustriaTU Wien, Inst Comp Engn, Vienna, Austria
Kastner, Wolfgang
Sauter, Thilo
论文数: 0引用数: 0
h-index: 0
机构:
TU Wien, Inst Comp Technol, Vienna, Austria
Danube Univ Krems, Integr Sensor Syst, Krems An Der Donau, AustriaTU Wien, Inst Comp Engn, Vienna, Austria
Sauter, Thilo
17TH IEEE INTERNATIONAL WORKSHOP ON FACTORY COMMUNICATION SYSTEMS 2021 (WFCS 2021),
2021,
: 37
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