토픽모델링을 이용한 무인지상차량(UGV) 특허 동향 분석

Abstract

This study provides a thorough examination of Unmanned Ground Vehicles(UGVs), focusing on crucialtechnologies and trends across major global markets. It includes an in-depth patent analysis revealing the dominantpositions of the United States and the European Union in this field. Additionally, it underscores substantialadvancements made by China, Japan, and Korea since 2010. Using Latent Dirichlet Allocation(LDA)-based patenttext 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 regressionanalysis, the study predicted the future paths of these technology areas, offering important insights into theevolving 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.