Falling detection concerns identifying and alerting when a person falls or experiences a
sudden loss of balance. It is an important safety feature, particularly for elderly or vulnerable …

This paper focuses on the gaps that occur inside plantations; these gaps, although not
having anything growing in them, still happen to be watered. This action ends up wasting …

The majority of current commercial available Unmanned Aerial Vehicles (UAV) depend
mainly on satellite signals to estimate their position. Although this is not a problem in outdoor …

The increased development of camera resolution, processing power, and aerial platforms
helped to create more cost-efficient approaches to capture and generate point clouds to …

The usage of Unmanned Aerial Vehicles (UAVs) has become increasingly widespread over
the years, rising to meet challenges of systems in several different sectors. The high mobility …

Autonomous Vehicles (AVs) offer the promise of a road environment without accidents,
much less congestion and a dramatic reduction in car emissions. In order for this vision to …

The integration of data science into Geographic Information Systems (GIS) has facilitated the
evolution of these tools into complete spatial analysis platforms. The adoption of machine …

Unmanned aerial vehicles have large prospects for organizing territory monitoring. To
integrate them into this sphere, it is necessary to improve their high functionality and safety …

This work proposes a new algorithm to address the problem of unmanned aerial vehicle
(UAV) navigation in satellite-less environments by combining machine learning with existent …

The number of applications for which UAVs can be used is growing rapidly, either because
they can perform more efficiently than traditional methods or because they can be a good …