278 citations · 449 across the 14 of their papers we have counts for
14 papers
GPS-free Autonomous Navigation in Cluttered Tree Rows with Deep Semantic Segmentation
Alessandro Navone, Mauro Martini, Marco Ambrosio +3
Segmentation-based autonomous navigation has recently been presented as an appealing approach to guiding robotic platforms through crop rows without requiring perfect GPS localizat…
Lavender Autonomous Navigation with Semantic Segmentation at the Edge
Alessandro Navone, Fabrizio Romanelli, Marco Ambrosio +3
Achieving success in agricultural activities heavily relies on precise navigation in row crop fields. Recently, segmentation-based navigation has emerged as a reliable technique wh…
Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation
Alessandro Navone, Mauro Martini, Andrea Ostuni +2
Segmentation-based autonomous navigation has recently been proposed as a promising methodology to guide robotic platforms through crop rows without requiring precise GPS localizati…
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
Simone Angarano, Mauro Martini, Alessandro Navone +1
In recent years, precision agriculture has gradually oriented farming closer to automation processes to support all the activities related to field management. Service robotics pla…
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
Alessandro Navone, Mauro Martini, Simone Angarano +1
Modern robotic platforms need a reliable localization system to operate daily beside humans. Simple pose estimation algorithms based on filtered wheel and inertial odometry often f…
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
Luca Marchionna, Giulio Pugliese, Mauro Martini +3
The game of Jenga represents an inspiring benchmark for developing innovative manipulation solutions for complex tasks. Indeed, it encouraged the study of novel robotics methods to…
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…
Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
Simone Angarano, Francesco Salvetti, Mauro Martini +1
Single-Image Super-Resolution can support robotic tasks in environments where a reliable visual stream is required to monitor the mission, handle teleoperation or study relevant vi…
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…
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
Mauro Martini, Simone Cerrato, Francesco Salvetti +2
Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities. Robotic navigation in vineyards…
Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
Francesco Salvetti, Simone Angarano, Mauro Martini +2
The development of precision agriculture has gradually introduced automation in the agricultural process to support and rationalize all the activities related to field management.…
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…
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 (…
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…