activity
20132023
most citedAssessment of algorithms for mitosis detection in breast cancer histopathology images

480 citations · 727 across the 19 of their papers we have counts for

collaborators

20 papers

cs.RO2023

Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter

Luca Crupi, Elia Cereda, Alessandro Giusti +1

Nano-quadcopters are versatile platforms attracting the interest of both academia and industry. Their tiny form factor, i.e., 10 cm diameter, makes them particularly useful in…

cs.RO2023

Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones

Elia Cereda, Alessandro Giusti, Daniele Palossi

Palm-sized nano-drones are an appealing class of edge nodes, but their limited computational resources prevent running large deep-learning models onboard. Adopting an edge-fog comp…

cs.CR2023★ 9 cited

Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case

Maicol Ciani, Stefano Bonato, Rafail Psiakis +6

Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in diameter, are an emerging technology thanks to the broad applicability enabled by their onboard intelligence.…

cs.RO2023★ 14 cited

Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors

Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda +2

Precise relative localization is a crucial functional block for swarm robotics. This work presents a novel autonomous end-to-end system that addresses the monocular relative locali…

cs.RO2022

Visual Servoing with Geometrically Interpretable Neural Perception

Antonio Paolillo, Mirko Nava, Dario Piga +1

An increasing number of nonspecialist robotic users demand easy-to-use machines. In the context of visual servoing, the removal of explicit image processing is becoming a trend, al…

cs.CV2022

Challenges in Visual Anomaly Detection for Mobile Robots

Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella +2

We consider the task of detecting anomalies for autonomous mobile robots based on vision. We categorize relevant types of visual anomalies and discuss how they can be detected by u…