The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

In this study, a novel digital twin-based solution called Digital-PV has been developed for
the simulation and managed execution of autonomous aerial monitoring of photovoltaic (PV) …

Abstract Unmanned Aerial Vehicles (UAVs) have become an essential photogrammetric
measurement as they are affordable, easily accessible and versatile. Aerial images captured …

Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

Using depth estimation joint target detection networks to locate targets in the UAV field of
view is a novel application in the depth estimation research field. The presence of more …

The Unmanned Aerial Vehicles (UAVs) have gained increasing attention recently, and depth
estimation is one of the essential tasks for the safe operation of UAVs, especially for drones …

Convincing depth estimation from monocular aerial images is a fundamental task in
environment perception. We propose an efficient multilevel feature fusion network …

Deep learning-based solutions for the ill-posed problem of Monocular Depth Estimation
(MDE) from 2D color images have shown potential in recent years, spurring a very active …

Unmanned Aerial Systems (UASs) have continuously demonstrated incredible value
assisting with disasters such as wildfires and hurricanes. For example, UASs can help …

Human-robot interaction (HRI) and human-robot collaboration (HRC) have emerged by
researchers to address the convergence between intelligent robotics and the Metaverse …