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1 Ergebnisse
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Hybrid deep neural networks for drone high level intent cla..:
Fraser, Benjamin
;
Perrusquía, Adolfo
;
Panagiotakopoulos, Dimitrios
.
Fraser B, Perrusquía A, Panagiotakopoulous D, Guo W. (2023) Hybrid deep neural networks for drone high level intent classification using non-cooperative radar data. In: 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 19-21 July 2023, Santa Cruz de Tenerife, Spain. , 2023
Link:
https://doi.org/10.1109/ICECCME57830.2023.10252859
RT Journal T1 <Title>Hybrid deep neural networks for drone high level intent classification using non-cooperative radar data</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826_20308&Exemplar=1&LAN=DE A1 Fraser, Benjamin A1 Perrusquía, Adolfo A1 Panagiotakopoulos, Dimitrios A1 Guo, Weisi PB IEEE YR 2023 K1 drones K1 high-level intent K1 classification K1 novelty detection K1 deep neural networks JF Fraser B, Perrusquía A, Panagiotakopoulous D, Guo W. (2023) Hybrid deep neural networks for drone high level intent classification using non-cooperative radar data. In: 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 19-21 July 2023, Santa Cruz de Tenerife, Spain LK http://dx.doi.org/https://doi.org/10.1109/ICECCME57830.2023.10252859 DO https://doi.org/10.1109/ICECCME57830.2023.10252859 SF ELIB - SuUB Bremen
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