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Patent Trend Analysis of Unmanned Ground Vehicles(UGV) using Topic Modeling

토픽모델링을 이용한 무인지상차량(UGV) 특허 동향 분석

  • Kihwan Kim (Defense Industry Strategy Team, Korea Research Institute for defense Technology Planning and Advancement) ;
  • Chasoo Jun (Department of Industrial System Engineering, Gyeongsang National University) ;
  • Chiehoon Song (Department of Management of Technology, Gyeongsang National University) ;
  • Jeonghwan Jeon (Department of Industrial System Engineering, Gyeongsang National University)
  • 김기환 (국방기술진흥연구소 방위산업전략팀) ;
  • 전차수 (경상국립대학교 산업시스템공학부) ;
  • 송지훈 (경상국립대학교 기술경영학과) ;
  • 전정환 (경상국립대학교 산업시스템공학부)
  • Received : 2024.01.02
  • Accepted : 2024.04.27
  • Published : 2024.06.05

Abstract

This study provides a thorough examination of Unmanned Ground Vehicles(UGVs), focusing on crucial technologies and trends across major global markets. It includes an in-depth patent analysis revealing the dominant positions of the United States and the European Union in this field. Additionally, it underscores substantial advancements made by China, Japan, and Korea since 2010. Using Latent Dirichlet Allocation(LDA)-based patent text mining, the study identified key technology areas in UGV development, such as advanced control systems, navigation technologies, power supply mechanisms, and sensing and communication tools. Through linear regression analysis, the study predicted the future paths of these technology areas, offering important insights into the evolving world of UGV technology. The findings can provide strategic guidance for stakeholders in the defense, commercial, and academic sectors, pointing out the future directions in UGV advancements.

Keywords

Acknowledgement

이 성과는 2019년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019R1A2C1090655). 또한 산업통상자원부의 '융합기술사업화 확산형 전문인력 양성 사업'의 지원을 받아 수행된 논문임. 그리고 본 연구는 제1저자의 석사학위논문을 기반으로 작성한 것임.

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