Situational Awareness: Techniques, Challenges, and Prospects
Situational awareness (SA) is defined as the perception of entities in the environment, comprehension of their meaning, and projection of their status in near future. From an Air Force perspective, SA refers to the capability to comprehend and project the current and future disposition of red and bl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | AI |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-2688/3/1/5 |
| _version_ | 1797473298957729792 |
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| author | Arslan Munir Alexander Aved Erik Blasch |
| author_facet | Arslan Munir Alexander Aved Erik Blasch |
| author_sort | Arslan Munir |
| collection | DOAJ |
| description | Situational awareness (SA) is defined as the perception of entities in the environment, comprehension of their meaning, and projection of their status in near future. From an Air Force perspective, SA refers to the capability to comprehend and project the current and future disposition of red and blue aircraft and surface threats within an airspace. In this article, we propose a model for SA and dynamic decision-making that incorporates artificial intelligence and dynamic data-driven application systems to adapt measurements and resources in accordance with changing situations. We discuss measurement of SA and the challenges associated with quantification of SA. We then elaborate a plethora of techniques and technologies that help improve SA ranging from different modes of intelligence gathering to artificial intelligence to automated vision systems. We then present different application domains of SA including battlefield, gray zone warfare, military- and air-base, homeland security and defense, and critical infrastructure. Finally, we conclude the article with insights into the future of SA. |
| first_indexed | 2024-03-09T20:12:47Z |
| format | Article |
| id | doaj.art-9901cf110f9b487fa38f07bd127d2f9e |
| institution | Directory Open Access Journal |
| issn | 2673-2688 |
| language | English |
| last_indexed | 2024-03-09T20:12:47Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AI |
| spelling | doaj.art-9901cf110f9b487fa38f07bd127d2f9e2023-11-24T00:08:37ZengMDPI AGAI2673-26882022-01-0131557710.3390/ai3010005Situational Awareness: Techniques, Challenges, and ProspectsArslan Munir0Alexander Aved1Erik Blasch2Department of Computer Science, Kansas State University, Manhattan, KS 66506, USAUnited States Air Force Research Laboratory (AFRL), Information Directorate, Rome, NY 13441, USAAFRL Air Force Office of Scientific Research (AFOSR), 875 North Randolph Street, Arlington, VA 22203, USASituational awareness (SA) is defined as the perception of entities in the environment, comprehension of their meaning, and projection of their status in near future. From an Air Force perspective, SA refers to the capability to comprehend and project the current and future disposition of red and blue aircraft and surface threats within an airspace. In this article, we propose a model for SA and dynamic decision-making that incorporates artificial intelligence and dynamic data-driven application systems to adapt measurements and resources in accordance with changing situations. We discuss measurement of SA and the challenges associated with quantification of SA. We then elaborate a plethora of techniques and technologies that help improve SA ranging from different modes of intelligence gathering to artificial intelligence to automated vision systems. We then present different application domains of SA including battlefield, gray zone warfare, military- and air-base, homeland security and defense, and critical infrastructure. Finally, we conclude the article with insights into the future of SA.https://www.mdpi.com/2673-2688/3/1/5situational awarenessdynamic data-driven systemsartificial intelligencesynthetic vision systemsfog computinggray zone warfare |
| spellingShingle | Arslan Munir Alexander Aved Erik Blasch Situational Awareness: Techniques, Challenges, and Prospects AI situational awareness dynamic data-driven systems artificial intelligence synthetic vision systems fog computing gray zone warfare |
| title | Situational Awareness: Techniques, Challenges, and Prospects |
| title_full | Situational Awareness: Techniques, Challenges, and Prospects |
| title_fullStr | Situational Awareness: Techniques, Challenges, and Prospects |
| title_full_unstemmed | Situational Awareness: Techniques, Challenges, and Prospects |
| title_short | Situational Awareness: Techniques, Challenges, and Prospects |
| title_sort | situational awareness techniques challenges and prospects |
| topic | situational awareness dynamic data-driven systems artificial intelligence synthetic vision systems fog computing gray zone warfare |
| url | https://www.mdpi.com/2673-2688/3/1/5 |
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