Active Position Estimation (APE) is the task of localizing one or more targets using one or
more sensing platforms. APE is a key task for search and rescue missions, wildlife …

Industry 4.0, smart homes, and the Internet of Things are boosting the employment of
autonomous aerial vehicles in indoor environments, where localization is still challenging …

Nowadays, aerial formations are frequently employed in outdoor scenarios to cooperatively
explore and monitor wide areas of interest. In these applications, the vehicles are often …

A novel Fusion Convolutional Network (FCN) is proposed in this research for potential real-
time monitoring of insulators using unmanned aerial vehicle (UAV) edge devices. Precise …

Over the past decade, unmanned aerial vehicles (UAVs) have received increasing attention
and are being used in the areas of harvesting, videotaping, and the military industry. In this …

This work presents a novel general regularized distributed solution for the state estimation
problem in networked systems. Resting on the graph-based representation of sensor …

Visual sensor networks (VSNs) constitute a fundamental class of distributed sensing
systems, with unique complexity and appealing performance features, which …

Formation control of multi-agent systems deals with groups of robots forming specific spatial
geometries. Combined with the advancements of unmanned aerial vehicles (UAVs) in the …

The transportation of large payloads can be made possible with Multi-Robot Systems (MRS)
implementing cooperative strategies. In this work, we focus on the coordinated MRS …

The saliency feature is a key factor in achieving vision-based tracking for multi-UAV control.
However, due to the complex and variable environments encountered during multi-UAV …