The growing intelligence and prevalence of drones have led to an increase in their
disorderly and illicit usage, posing substantial risks to aviation and public safety. This paper …

Early warning of small civilian UAVs is a critical issue in the field of public security and is a
challenging task in object detection. Video object detection methods based on deep …

Predominant methods for image-based drone detection frequently rely on employing
generic object detection algorithms like YOLOv5. While proficient in identifying drones …

The rapid expansion of the drone industry has resulted in a substantial increase in the
number of low-altitude drones, giving rise to concerns regarding collision avoidance and …

Drone-to-drone detection using visual feed has crucial applications, such as detecting drone
collisions, detecting drone attacks, or coordinating flight with other drones. However, existing …

Deep learning has revolutionized object detection, with YOLO (You Only Look Once)
leading in real-time accuracy. However, detecting moving objects in visual streams presents …

Detecting drones in a video is a challenging problem due to their dynamic movements and
varying range of scales. Moreover, since drone detection is often required for security, it …

Video surveillance systems provide means to detect the presence of potentially malicious
drones in the surroundings of critical infrastructures. In particular, these systems collect …

Recent advances in robotics and computer vision fields yield emerging new applications for
camera equipped drones. One such application is aerial-based object detection. However …

Drones are increasing in popularity and are reaching the public faster than ever before.
Consequently, the chances of a drone being misused are multiplying. Automated drone …