Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

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 …

Personal assistant robots provide novel technological solutions in order to monitor people's
activities, hel** them in their daily lives. In this sense, unmanned aerial vehicles (UAVs) …

The task assignment issue and the path planning problem of Multiple Unmanned Aerial
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …

Localization without Global Navigation Satellite Systems (GNSS) is a critical functionality in
autonomous operations of unmanned aerial vehicles (UAVs). Vision-based localization on a …

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 …

This paper proposes a method to tackle the Coverage Path Planning (CPP) problem for a
fleet of AI-driven UAVs while accounting for congestion, collision avoidance, and efficiency …

Remote sensing is a method of collecting data without making any physical contact with the
object under inspection. Modern day remote sensing kicked off with the invention of the …

In this paper we present an algorithm to determine a shortest trajectory of a fixed-wing UAV
in scenarios with no-fly areas. The innovative feature is that not only the kinematic and …

Localization is an aspect of robotics that is of fundamental importance in the deployment of
autonomous vehicles. Robots need to know where they are relative to a global frame of …