利用主题建模分析无人地面运载工具(UGV)的专利趋势

Kihwan Kim, Chasoo Jun, Chiehoon Song, Jeonghwan Jeon
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引用次数: 0

摘要

本研究对无人地面运载工具(UGV)进行了深入研究,重点关注全球主要市场的关键技术和发展趋势。它包括一项深入的专利分析,揭示了美国和欧盟在该领域的主导地位。此外,报告还强调了中国、日本和韩国自 2010 年以来取得的重大进展。该研究利用基于潜在德里希勒分配(LDA)的专利文本挖掘,确定了 UGV 开发的关键技术领域,如先进的控制系统、导航技术、供电机制以及传感和通信工具。通过线性回归分析,研究预测了这些技术领域的未来发展路径,为了解不断发展的 UGV 技术世界提供了重要见解。研究结果可为国防、商业和学术领域的利益相关者提供战略指导,指明无人潜航器的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patent Trend Analysis of Unmanned Ground Vehicles(UGV) using Topic Modeling
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.
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