Visual detection of micro aerial vehicles (MAVs) has received increasing research attention
in recent years due to its importance in many applications. However, the existing …

Anti-UAV systems are crucial for preventing unauthorized individuals from exploiting UAVs
for illegal activities, including surveillance and attacks. Precise real-time positioning of small …

Flying-object detection has become an increasingly attractive avenue for research,
particularly with the rising prevalence of unmanned aerial vehicle (UAV). Utilizing deep …

In the rapidly developing drone industry, drone use has led to a series of safety hazards in
both civil and military settings, making drone detection an increasingly important research …

In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs),
which possess the potential to transport harmful payloads or independently cause damage …

Unauthorized unmanned aerial vehicles (UAVs) pose threats to public safety and individual
privacy. Traditional object-detection approaches often fall short during their application in …

This paper presents a low-altitude unmanned aerial vehicle (UAV) attitude detection and
tracking algorithm, named UAV-Pose. In the context of low-altitude UAV countermeasure …

Recently, the world has witnessed a great increase in drone applications and missions.
Drones must be detected quickly, effectively, and precisely when they are being handled …

Continuous trajectory tracking and movement estimation of microunmanned aerial vehicles
(UAVs) in sensitive areas intended for unauthorized intrusion prevention are challenging …

Accurate identification of critical malicious drones is crucial for optimizing directed energy
attacks and maximizing their effectiveness. However, current studies on critical drone …