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Survey on coverage path planning with unmanned aerial vehicles
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 …
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …
Grid-based coverage path planning with minimum energy over irregular-shaped areas with UAVs
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 …
using Unmanned Aerial Vehicles in irregular-shaped areas since simple geometric flight …
UAV-based persistent full area coverage with dynamic priorities
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 …
space with a minimum number of Unmanned Aerial Vehicles (UAVs). The UAVs are …
Guidance algorithm for smooth trajectory tracking of a fixed wing UAV flying in wind flows
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 …
fixed wing unmanned aerial vehicle travelling with a constant airspeed and under a constant …
Strategies for patrolling missions with multiple UAVs
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 …
as a result, improving our original NC-Drone algorithm. We present four strategies …
[HTML][HTML] Performance assessment of portable optical particle spectrometer (Pops)
Accurate representation of atmospheric aerosol properties is a long-standing problem in
atmospheric research. Modern pilotless aerial systems provide a new platform for …
atmospheric research. Modern pilotless aerial systems provide a new platform for …
Learning to predict the wind for safe aerial vehicle planning
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 …
unmanned aerial vehicles (UAVs). Small UAVs often operate at low altitudes near terrain …
Efficient spatio-temporal Gaussian regression via Kalman filtering
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 …
Gaussian Processes (GPs) regression from sparse and noisy data. GPs have been mainly …
Efficient multi-robot inspection of row crops via kernel estimation and region-based task allocation
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 …
gathered using remote sensing, which uses a combination of satellite and aerial imagery …
A compendium of radio resource management in UAV-assisted next generation computing paradigms
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 …
different areas ranging from military to medical applications and traffic control to the …