From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …

Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …

As the usage of drones increases with lowered costs and improved drone technology, drone
detection emerges as a vital object detection task. However, detecting distant drones under …

Unmanned Aerial Vehicles (UAVs) have been widely used in many areas, including
transportation, surveillance, and military. However, their potential for safety and privacy …

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 …

Object detection is one of the major areas of computer vision, which adopts machine
learning approaches in diverse contributions. Nowadays, the machine learning field has …

Accurate and robust drone detection is an important and challenging task. However, on this
issue, previous research, whether based on appearance or motion features, has not yet …

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 …