무인항공 분야 특허기술의 융합동향 분석

This paper analyzed the centrality and network using the International Patent Classification (IPC) in the field of unmanned aerial vehicles. The static analysis method analyzed the top IPCs of the centrality for each year, and the dynamic analysis method applied with CAGR was used to analyze the increasing and decreasing trends of IPCs for each year. The connection relationships of IPCs were also visually analyzed using network visualization analysis methods. The derived IPCs can be classified into IPCs in unmanned aviation-related industries and technology-related IPCs needed for unmanned aviation. IPCs, which mean aviation, ships, weapons-grade collimators, material surveys and measurements, mean that unmanned aerial vehicles are being utilized in the sector and are on the rise. The analysis of IPC in the ship sector as an increasing trend indicates that trends in the use of unmanned systems in various fields have been derived. The IPC analysis on unmanned aerial technology has resulted in imaging, monitoring, and communicationrelated IPC, and it can be expected that unmanned aerial vehicles will increase the need for technology in the field of imaging. In addition, IPC related to radio navigation and control has been derived and the importance of self-driving technology in the field of unmanned aerial vehicles can be expected to increase. It also suggests that there is a need to strengthen research and development and investment in the future as IPCs related to wireless navigation and control have been derived and the importance of self-driving technologies can be expected in the unmanned aviation sector.