Unmanned aerial vehicles (UAVs) also known as drones are increasingly populating our
skies. This represents a relevant issue both for the legislator and the researcher. While the …

Automated pig monitoring is an important issue in the surveillance environment of a pig
farm. For a large-scale pig farm in particular, practical issues such as monitoring cost should …

In this paper, we propose a novel crowd detection method for drone safe landing, based on
an extremely light and fast fully convolutional neural network. Such a computer vision …

The capability of drones to perform autonomous missions has led retail companies to use
them for deliveries, saving time and human resources. In these services, the delivery …

Deep learning-based marker detection for autonomous drone landing is widely studied, due
to its superior detection performance. However, no study was reported to address non …

It proposes a deep inverse reinforcement learning method for slow and weak moving targets
detection in aerial video. Differential gray images of adjacent frames are used as the …

Precision landing has the potential to increase the accuracy of autonomous landings.
Unique applications require specific landing performance; for example, wireless charging …

Ultraviolet (UV) light communication has several advantages, including strong anti-
interference ability, all-weather operation, and covert communications. In this paper, we built …

In this work, we address the problem of target detection involved in an autonomous landing
task for a Micro Aerial Vehicle (MAV). The challenge is to detect a flag located somewhere in …

Autonomous precision landing of unmanned aerial vehicle can be widely used in ocean
inspection, mine inspection and other industries. Vision based autonomous precision …