Tiny object detection is one of the key challenges in the field of object detection. The
performance of most generic detectors dramatically decreases in tiny object detection tasks …

Unmanned aerial vehicles (UAVs) are predicted to be widely used in both military and
civilian sectors in the coming years due to their high mobility, low cost, and enhancement of …

This paper describes the development of a ground-mounted sensing system designed for
urban air mobility (UAM) operational aircraft's landing and takeoff within designated UAM …

This master thesis focuses on the cutting-edge application of AI in developing intrusion
detection systems (IDS) for unmanned aerial vehicles (UAVs) in smart cities. The objective is …

We propose a lightweight, effective, and efficient anti-drone network, namely ADMNet, for
visually detecting and monitoring unfriendly drones with a constrained view field, flying …

In addition to addressing issues commonly encountered in generic visual object tracking,
this task endeavors necessitates coping with the diminutive characteristics of infrared UAV …

Aiming at real-time detection of UAVs, small UAV targets are easily missed and difficult to
detect in complex backgrounds. To maintain high detection performance while reducing …

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

This paper presents the 6th edition of the Drone-vs-Bird detection challenge, jointly
organized with the WOSDETC workshop within the IEEE International Conference on …

Today, the use of artificial intelligence (AI) to enhance the processes of online shopping is
crucial for e-commerce as it uses the past purchasing behavior of customer-automated …