Monitoring Human Visual Behavior during the Observation of Unmanned Aerial Vehicles (UAVs) Videos

Optimizing Trajectories for Unmanned Aerial Vehicles (UAVs) Patrolling the Border

At first glance, most aspects of border protection activity look like classical examples of zero-sum games, in which the interests of the two sides are exactly opposite. This is how such situations are planned now: this is how border patrol agents are assigned to different segments of the border, this is how routes of coast guard ships are planned, etc. However, there is a big difference betwee...

Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)

Precision phenotyping, especially the use of image analysis, allows researchers to gain information on plant properties and plant health. Aerial image detection with unmanned aerial vehicles (UAVs) provides new opportunities in precision farming and precision phenotyping. Precision farming has created a critical need for spatial data on plant density. The plant number reflects not only the fina...

A Situational Awareness Tool For Unmanned Aerial Vehicles (UAVs)

Small unmanned aerial vehicles (micro-UAVs, drones) in plant ecology1

PREMISE OF THE STUDY Low-elevation surveys with small aerial drones (micro-unmanned aerial vehicles [UAVs]) may be used for a wide variety of applications in plant ecology, including mapping vegetation over small- to medium-sized regions. We provide an overview of methods and procedures for conducting surveys and illustrate some of these applications. METHODS Aerial images were obtained by fl...

Outdoor Environment Monitoring with Unmanned Aerial Vehicles

This work addresses the problem of video surveillance of outdoor environments with unmanned aerial vehicles (UAV). Specifically it proposes a two-step approach, with an initial offline stage in which a mosaic of the zone to be monitored is built from video sequences. The second step tackles with the problem of online detection of relevant differences between the acquired images and the mosaic m...