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In this work, we validate our approach with a simulation that captures physical models and the application layer of each UAV, as well as the wireless network.
In this work, we validate our approach with a simulation that captures physical models and the application layer of each UAV, as well as the wireless network.
Abstract—Recent advances in Unmanned Aerial Vehicles. (UAVs) have enabled a myriad of new applications many of which provide aerial vision-based sensing.
This page is a summary of: Extendable Matrix Camera Using Aerial Networks , May 2016, Institute of Electrical & Electronics Engineers (IEEE), DOI: 10.1109/�...
Extendable Matrix Camera using Aerial Networks, Proc IEEE International Conf. on Autonomous Robot Systems and Competitions (ICARSC) - ICARSC, Bragan�a ,�...
Document subtype. Full paper. Title Extendable Matrix Camera Using Aerial Networks ; Participants in the publication. Luis Ramos Pinto (Author) Dep. Inform�tica
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Missing: Extendable | Show results with:Extendable
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introduced by Rozantsev et al. [13]. The authors propose two methods for detecting UAVs by using a single cam- era and a Convolutional Neural Network (CNN)�...