278 citations · 1.1k across the 15 of their papers we have counts for
6 papers · 1 filter
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband
Enrico Sutera, Vittorio Mazzia, Francesco Salvetti +2
Indoor autonomous navigation requires a precise and accurate localization system able to guide robots through cluttered, unstructured and dynamic environments. Ultra-wideband (UWB)…
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…
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
Vittorio Mazzia, Francesco Salvetti, Aleem Khaliq +1
Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively. Traditional detection m…