278 citations · 1.4k across the 16 of their papers we have counts for
16 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…
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
Simone Angarano, Mauro Martini, Francesco Salvetti +2
Domain Generalization (DG) studies the capability of a deep learning model to generalize to out-of-training distributions. In the last decade, literature has been massively filled…
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Simone Cerrato, Vittorio Mazzia, Francesco Salvetti +4
Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practic…
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
Diego Aghi, Simone Cerrato, Vittorio Mazzia +1
Precision agriculture is a fast-growing field that aims at introducing affordable and effective automation into agricultural processes. Nowadays, algorithmic solutions for navigati…
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Vittorio Mazzia, Simone Angarano, Francesco Salvetti +2
Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action Recognition (…
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1
The increasing availability of large-scale remote sensing labeled data has prompted researchers to develop increasingly precise and accurate data-driven models for land cover and c…
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to…
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…
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…
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)
Vittorio Mazzia, Aleem Khaliq, Marcello Chiaberge
The increasing spatial and temporal resolution of globally available satellite images, such as provided by Sentinel-2, creates new possibilities for researchers to use freely avail…
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq +2
Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific managem…
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…