141 citations · 357 across the 4 of their papers we have counts for
9 papers
Ultra-low-power Range Error Mitigation for Ultra-wideband Precise Localization
Simone Angarano, Francesco Salvetti, Vittorio Mazzia +3
Precise and accurate localization in outdoor and indoor environments is a challenging problem that currently constitutes a significant limitation for several practical applications…
Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
Simone Angarano, Vittorio Mazzia, Francesco Salvetti +2
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) condi…
DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation
Vittorio Mazzia, Francesco Salvetti, Diego Aghi +1
Agriculture 3.0 and 4.0 have gradually introduced service robotics and automation into several agricultural processes, mostly improving crops quality and seasonal yield. Row-based…
A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge
Anna Boschi, Francesco Salvetti, Vittorio Mazzia +1
The vital statistics of the last century highlight a sharp increment of the average age of the world population with a consequent growth of the number of older people. Service robo…
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks
Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq +1
Convolutional Neural Networks (CNNs) have been consistently proved state-of-the-art results in image Super-Resolution (SR), representing an exceptional opportunity for the remote s…
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy
Diego Aghi, Vittorio Mazzia, Marcello Chiaberge
With the advent of agriculture 3.0 and 4.0, researchers are increasingly focusing on the development of innovative smart farming and precision agriculture technologies by introduci…