no code implementations • 2 Apr 2024 • Simone Arreghini, Gabriele Abbate, Alessandro Giusti, Antonio Paolillo
For a service robot, it is crucial to perceive as early as possible that an approaching person intends to interact: in this case, it can proactively enact friendly behaviors that lead to an improved user experience.
no code implementations • 6 Mar 2024 • Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
Sub-\SI{50}{\gram} nano-drones are gaining momentum in both academia and industry.
no code implementations • 21 Feb 2024 • Luca Crupi, Alessandro Giusti, Daniele Palossi
Relative drone-to-drone localization is a fundamental building block for any swarm operations.
no code implementations • 4 Jul 2023 • 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.
no code implementations • 3 Mar 2023 • Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi
Precise relative localization is a crucial functional block for swarm robotics.
no code implementations • 3 Mar 2023 • Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
In this work, we leverage a novel neural architecture search (NAS) technique to automatically identify several Pareto-optimal convolutional neural networks (CNNs) for a visual pose estimation task.
1 code implementation • 22 Sep 2022 • Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella, Andrea Rizzoli, Jérôme Guzzi
We consider the task of detecting anomalies for autonomous mobile robots based on vision.
1 code implementation • 20 Sep 2022 • Dario Mantegazza, Alessandro Giusti, Luca Maria Gambardella, Jérôme Guzzi
We consider the problem of building visual anomaly detection systems for mobile robots.
no code implementations • 27 Oct 2021 • Marco Ferri, Dario Mantegazza, Elia Cereda, Nicky Zimmerman, Luca M. Gambardella, Daniele Palossi, Jérôme Guzzi, Alessandro Giusti
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synthetic background substitution to learn a lightweight CNN model from a small real-world training set.
1 code implementation • 27 Oct 2021 • Dario Mantegazza, Carlos Redondo, Fran Espada, Luca M. Gambardella, Alessandro Giusti, Jérôme Guzzi
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i. e., anomalous) with respect to the robot's previous experience in similar environments.
no code implementations • 23 Dec 2020 • Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti
We introduce a new outdoor urban 3D pointcloud dataset, covering a total area of 2. 7 $km^2$, sampled from three Swiss cities with different characteristics.
no code implementations • 22 Jul 2020 • R. Omar Chavez-Garcia, Emian Furger, Samuele Kronauer, Christian Brianza, Marco Scarfò, Luca Diviani, Alessandro Giusti
Hot-rolling is a metal forming process that produces a workpiece with a desired target cross-section from an input workpiece through a sequence of plastic deformations; each deformation is generated by a stand composed of opposing rolls with a specific geometry.
1 code implementation • 24 Sep 2018 • Dario Mantegazza, Jérôme Guzzi, Luca M. Gambardella, Alessandro Giusti
We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera.
3 code implementations • 19 Sep 2018 • Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti
We introduce a general self-supervised approach to predict the future outputs of a short-range sensor (such as a proximity sensor) given the current outputs of a long-range sensor (such as a camera); we assume that the former is directly related to some piece of information to be perceived (such as the presence of an obstacle in a given position), whereas the latter is information-rich but hard to interpret directly.
Robotics
no code implementations • ICCV 2015 • Toufiq Parag, Dan C. Ciresan, Alessandro Giusti
The prospect of neural reconstruction from Electron Microscopy (EM) images has been elucidated by the automatic segmentation algorithms.
no code implementations • 21 Nov 2014 • Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections, is considered to be one of the most important prognostic markers.
no code implementations • 7 Feb 2013 • Alessandro Giusti, Dan C. Cireşan, Jonathan Masci, Luca M. Gambardella, Jürgen Schmidhuber
Deep Neural Networks now excel at image classification, detection and segmentation.
no code implementations • NeurIPS 2012 • Dan Ciresan, Alessandro Giusti, Luca M. Gambardella, Jürgen Schmidhuber
The input layer maps each window pixel to a neuron.