The Intellectual Structure and the Future of Counter-Uncrewed Aerial Systems (UAS) Research: A Bibliometric and A Scoping Review

Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

With advancements in remote sensing technology and affordable design, uncrewed aerial systems (UAS), commonly known as drones, have become prevalent in civil and military applications, such as agriculture, public safety, and aerial imaging. However, the rise in unlawful UAS activities, such as non-compliance with legal standards and potential terrorist attacks, has raised significant public concern, necessitating effective detection and mitigation solutions. Despite the growing importance of this issue, comprehensive and detailed examinations of existing counter-UAS solutions are lacking. To address this gap, this study conducts a bibliometric analysis and scoping review of the current literature to identify key topics and emerging trends in counter-UAS approaches. Utilizing co-word and social network analyses, the study identifies strong and weak connections between selected keywords from academic articles. This study summarizes the limitations and potential opportunities within counter-UAS research, suggesting an increasing focus on multisensory fusion and machine-learning approaches for drone detection and mitigation. Additionally, areas such as swarm drone operations, UAS traffic management (UTM), and UAS networks are essential but promising fields for further investigation. The findings of this study provide a foundation for enhancing air and ground safety through improved counter-UAS applications.

Authors

• Yang, Chuyang Embry-Riddle Aeronautical University
• Huang, Chenyu Embry-Riddle Aeronautical University
• Zhao, Yanhui Embry-Riddle Aeronautical University

Keywords

• Aviation safety
• Counter-Uncrewed Aerial Systems (C-UAS)
• Drone Swarm
• Machine Learning
• Detection and Mitigation
• Aviation Safety and Security
• Management and Operations
• Transportation Engineering