Tóth, András (2025) Enhancing Situational Awareness and Decision-Making : The Impact of Advanced ISR Solutions on Command and Control Systems. HADMÉRNÖK, 20 (2). pp. 143-160. ISSN 1788-1919
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Abstract
This document explores the transformative impact of advanced Intelligence, Surveillance and Reconnaissance (ISR) technologies on modern military Command and Control (C2) systems, particularly within NATO and EU contexts. It highlights how cutting-edge advancements like artificial intelligence (AI), machine learning (ML), edge computing and big data analytics enhance situational awareness, decision-making and operational efficiency. The transition from network-centric to data-centric warfare is examined, emphasising real-time data integration, autonomous systems and decentralised decision-making to address the complexities of modern combat. While these technologies offer unprecedented decision superiority and adaptability, challenges such as information overload and cybersecurity vulnerabilities are also discussed. The study underscores the need for continuous innovation and integration of emerging technologies to maintain a strategic advantage in dynamic military environments.
| Item Type: | Article |
|---|---|
| Additional Information: | Project no. TKP2021-NVA-16 has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme. |
| Uncontrolled Keywords: | Intelligence; Situational awareness; Edge Computing; Command and control systems; Surveillance and Reconnaissance (ISR); data-centric warfare; decision superiority; |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány U Military Science / hadtudomány > U1 Military Science (General) / hadtudomány általában |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 26 Feb 2026 13:50 |
| Last Modified: | 26 Feb 2026 15:35 |
| URI: | https://real.mtak.hu/id/eprint/235091 |
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