Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

Grid-based methods have been proposed to solve the Coverage Path Planning problem
using Unmanned Aerial Vehicles in irregular-shaped areas since simple geometric flight …

This paper tackles the problem of performing persistent and complete coverage of a target
space with a minimum number of Unmanned Aerial Vehicles (UAVs). The UAVs are …

This paper presents an algorithm for solving the problem of tracking smooth curves by a
fixed wing unmanned aerial vehicle travelling with a constant airspeed and under a constant …

This paper proposes a set of strategies for the patrolling problem using multiple UAVs and
as a result, improving our original NC-Drone algorithm. We present four strategies …

Accurate representation of atmospheric aerosol properties is a long-standing problem in
atmospheric research. Modern pilotless aerial systems provide a new platform for …

Unmanned aerial vehicles (UAVs) have huge potential in empowering new applications in
different areas ranging from military to medical applications and traffic control to the …

Obtaining an accurate estimate of the local wind remains a significant challenge for small
unmanned aerial vehicles (UAVs). Small UAVs often operate at low altitudes near terrain …

Modern agriculture relies on accurate and timely data. Currently, most of this data is
gathered using remote sensing, which uses a combination of satellite and aerial imagery …

We study the non-parametric reconstruction of spatio-temporal dynamical processes via
Gaussian Processes (GPs) regression from sparse and noisy data. GPs have been mainly …