The rapid increase in the number of unmanned aerial vehicles (UAVs) poses a threat to the
safety of personnel, ground facilities, and aircraft. Therefore, as the basis of UAV safety …

The past years have shown a remarkable growth in use-cases for micro aerial vehicles
(MAVs). Conceivable indoor applications require highly robust environment perception, fast …

In this paper, the Politecnico di Milano solutions proposed for the Leonardo Drone Contest
(LDC) are presented. The Leonardo Drone Contest is an annual autonomous drone …

In this paper, a deep reinforcement learning (DRL) method is proposed to address the
problem of UAV navigation in an unknown environment. However, DRL algorithms are …

This paper presents a fully automatic method, BladeView, for drone-based wind turbine
blade inspection using an Unmanned Aerial Vehicle (UAV). With the need for highly efficient …

Planning and scheduling in construction heavily depend on current information about the
state of construction processes. However, the acquisition process for visual data requires …

Drone technology is advancing rapidly and represents significant benefits during firefighting
operations. This paper presents a novel approach for autonomous firefighting missions for …

For autonomous navigation of Micro Aerial Vehicles (MAVs) in cluttered environments, it is
essential to detect potential obstacles not only in the direction of flight but in their entire local …

The usage of unmanned aerial vehicles (UAV) has increased in recent years and new
application scenarios have emerged. Some of them involve tasks that require a high degree …

The article deals with a novel approach to reactive navigation. A proposed reactive
navigation is based on the Vector Field Histogram (VFH) method, which is easily modifiable …