A Study on Construction Method of AI based Situation Analysis Dataset for Battlefield Awareness (전장인식을 위한 인공지능 기반 상황분석 데이터셋 구축 방안 연구)

Yukyung Shin (신유경); Soyeon Jin (진소연); Jongchul Ahn (안종철)

doi:10.9708/jksci.2023.28.10.037

A Study on Construction Method of AI based Situation Analysis Dataset for Battlefield Awareness

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(10), pp.37-53
DOI : 10.9708/jksci.2023.28.10.037
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 26, 2023
Accepted : October 16, 2023
Published : October 31, 2023

Yukyung Shin ¹, Soyeon Jin ¹, Jongchul Ahn ²

¹한화시스템
²한화 시스템

Accredited

ABSTRACT

The AI based intelligent command and control system can automatically analyzes the properties of intricate battlefield information and tactical data. In addition, commanders can receive situation analysis results and battlefield awareness through the system to support decision-making. It is necessary to build a battlefield situation analysis dataset similar to the actual battlefield situation for learning AI in order to provide decision-making support to commanders. In this paper, we explain the next step of the dataset construction method of the existing previous research, ‘A Virtual Battlefield Situation Dataset Generation for Battlefield Analysis based on Artificial Intelligence’. We proposed a method to build the dataset required for the final battlefield situation analysis results to support the commander's decision-making and recognize the future battlefield. We developed ‘Dataset Generator SW’, a software tool to build a learning dataset for battlefield situation analysis, and used the SW tool to perform data labeling. The constructed dataset was input into the Siamese Network model. Then, the output results were inferred to verify the dataset construction method using a post-processing ranking algorithm.

KEYWORDS

Battlefield Analysis, Battlefield Awareness, Intelligent Command Control System, Artificial Intelligence, Ranking Algorithm

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Construction Method of AI based Situation Analysis Dataset for Battlefield Awareness

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Construction Method of AI based Situation Analysis Dataset for Battlefield Awareness

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KEYWORDS

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* References for papers published after 2023 are currently being built.