Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges and Future Trends
Jian Wang, Yongxin Liu, and Houbing Song

TL;DR
This paper surveys the current state, challenges, and future trends of Counter-UAS (C-UAS) technologies, highlighting detection and mitigation methods to enhance safety, security, and privacy in UAS operations.
Contribution
It provides a comprehensive overview of existing C-UAS detection and mitigation technologies, identifying key challenges and future research directions.
Findings
Detection technologies include acoustic, vision, RF, radar, and data fusion.
Mitigation methods involve physical capture and jamming.
Significant research efforts have been made in the past 5 years.
Abstract
Unmanned aircraft systems (UAS), or unmanned aerial vehicles (UAVs), often referred to as drones, have been experiencing healthy growth in the United States and around the world. The positive uses of UAS have the potential to save lives, increase safety and efficiency, and enable more effective science and engineering research. However, UAS are subject to threats stemming from increasing reliance on computer and communication technologies, which place public safety, national security, and individual privacy at risk. To promote safe, secure and privacy-respecting UAS operations, there is an urgent need for innovative technologies for detecting, tracking, identifying and mitigating UAS. A Counter-UAS (C-UAS) system is defined as a system or device capable of lawfully and safely disabling, disrupting, or seizing control of an unmanned aircraft or unmanned aircraft system. Over the past 5…
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