With recent Federal Aviation Administration (FAA) policy changes and test site designations,
Unmanned Aerial Vehicles (UAVs) or “Drones” have gained attention among the public and …

In recent decades, unmanned aerial vehicles (UAVs, also known as drones) equipped with
multiple sensors have been widely utilized in various applications. Nevertheless …

With the growing popularity of unmanned aerial vehicles (UAVs) for consumer applications,
the number of accidents involving UAVs is also increasing rapidly. Therefore, motion safety …

This work attempts to tackle an important disaster management application in this IoT and
big data era. The main aim is to determine optimum or near optimum solutions in a …

Aerial tracking with multiple unmanned aerial vehicles (UAVs) has wide potential in various
applications. However, the existing works for swarm tracking typically lack the capability of …

Vision-based multi-sensor multi-object tracking is a fundamental task in the applications of a
swarm of Unmanned Aerial Vehicles (UAVs). The benchmark datasets are critical to the …

Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

In this paper, multiple-object vehicle tracking system by affinity matching using min-cost
linear cost assignment is proposed. This tracking system is targeted to scene recordings …

As a result of increasing urbanization, traffic monitoring in cities has become a challenging
task. The use of Unmanned Aerial Vehicles (UAVs) provides an attractive solution to this …

In this paper, based on the Model Predictive Control (MPC) and Improved Grey Wolf
Optimizer (IGWO), a hybrid method is proposed to plan the optimal trajectories of multi-UAVs …