Developments in nano unmanned aerial systems.
, 2011 There is a growing realization by military planners that to win the insurgency wars of the future, forward units will have to operate within the close confines of urban conurbations and for prolonged periods of time with minimal support. Micro/Nano Air vehicles (MAV/NAVs) are rapidly developing to become an integral component of a soldier’s real-time ...
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A Systems Engineering Methodology for System of Autonomous Systems: Architecture and Integration
Systems Engineering, EarlyView.ABSTRACT Artificial intelligence and machine learning (AI/ML) rapidly transform systems by providing autonomous capabilities. This new class of systems can become a constituent system in a system of systems (SoS) to evolve it into a system of autonomous systems (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
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A Bibliometric Review of the INCOSE's Model‐Based Systems Engineering Roadmap
Systems Engineering, EarlyView.ABSTRACT Over the past decade, model‐based systems engineering (MBSE) has gained attention as an approach for managing system complexity, offering a shift from a document‐based to a model‐based approach. The International Council on Systems Engineering (INCOSE) sparked increasing interest when it introduced MBSE and its roadmap as part of its systems ...
Marjolein Antoinette Jannyne Velthuizen +2 more
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Corrigendum: Radiological Mapping of Post-Disaster Nuclear Environments Using Fixed-Wing Unmanned Aerial Systems: A Study From Chornobyl. [PDF]
Front Robot AI, 2020 Connor DT +10 more
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A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation
Systems Engineering, EarlyView.ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
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Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects
Wildlife Biology, EarlyView.Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer +8 more
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Unmanned aerial vehicle bypass training system
Technical Engineering, 2020 Вирішується завдання створення системи для імітації навчального польоту безпілотного повітряного судна або дистанційно пілотованої авіаційної системи між будівлями, задля чого використовується багаторежимне керування польотом шляхом розбиття траєкторії руху безпілотного повітряного судна на декілька ділянок.
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Wildlife Biology, EarlyView.Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
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Advancing bat monitoring: Assessing the impact of unmanned aerial systems on bat activity. [PDF]
PLoS OneRoswag M +4 more
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On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial Systems. [PDF]
Sensors (Basel), 2019 Rascon C +2 more
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