Operational Scenario Modelling Supporting Unmanned Autonomous Systems Concept Development
Autor: | Josef Casar, Fabio Corona, Marco Biagini |
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Rok vydání: | 2018 |
Předmět: |
Speedup
computer.internet_protocol Process (engineering) Computer science media_common.quotation_subject Existential quantification 05 social sciences Interoperability Autonomous system (Internet) 050801 communication & media studies 0508 media and communications Risk analysis (engineering) 0502 economics and business Command and control 050211 marketing Architecture computer Autonomy media_common |
Zdroj: | Modelling and Simulation for Autonomous Systems ISBN: 9783319760711 MESAS |
DOI: | 10.1007/978-3-319-76072-8_18 |
Popis: | There exists a connection between a growing number of Unmanned Autonomous Systems (UAxS) and a number of possible security challenges. The likelihood that swarms of UAxS will be employed in high populated mega-city environments in the long and mid-term exacerbates these future challenges. The problem is two-fold: UAxS are likely to be used as additional capability for friendly forces, but they are also to be considered as possible threat. The challenges that an autonomous system poses depend not only on their physical vulnerability or the security of the networks and data, but also on the interaction with traditional troops and operating procedures to be followed, their levels of autonomy and Command and Control (C2) chain behind their employment. An extensive experimentation is necessary to address some of these challenges in a Concept Development and Experimentation (CD&E) process aimed to envision solutions. Modelling and Simulation (M&S) tools and architecture are essential to speed up this process in a cost effective way. This paper presents how the development of a particular air operational scenario in an urban environment, according to the Simulation Interoperability Standard Organization (SISO) guide using M&S tools, can support the capability development process for future UAxS as well as their countermeasures. |
Databáze: | OpenAIRE |
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