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Elia Cereda
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2020 – today
- 2024
- [j3]Elia Cereda, Stefano Bonato, Mirko Nava, Alessandro Giusti, Daniele Palossi:
Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics. J. Intell. Robotic Syst. 110(2): 58 (2024) - [j2]Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi:
A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing. IEEE Robotics Autom. Lett. 9(2): 1899-1906 (2024) - [j1]Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi:
Corrections to "a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing". IEEE Robotics Autom. Lett. 9(10): 8426 (2024) - [c8]Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi:
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. ICRA 2024: 10118-10124 - [i11]Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi:
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. CoRR abs/2403.04071 (2024) - [i10]Luca Crupi, Elia Cereda, Daniele Palossi:
Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones. CoRR abs/2404.02567 (2024) - [i9]Elia Cereda, Alessandro Giusti, Daniele Palossi:
Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW. CoRR abs/2408.03168 (2024) - 2023
- [c7]Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. EWSN 2023: 409-414 - [c6]Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi:
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors. ICRA 2023: 3411-3417 - [c5]Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi:
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. ICRA 2023: 6065-6071 - [c4]Luca Crupi, Elia Cereda, Alessandro Giusti, Daniele Palossi:
Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters. IROS 2023: 7711-7717 - [i8]Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi:
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. CoRR abs/2303.01931 (2023) - [i7]Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi:
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors. CoRR abs/2303.01940 (2023) - [i6]Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. CoRR abs/2307.01559 (2023) - [i5]Luca Crupi, Elia Cereda, Alessandro Giusti, Daniele Palossi:
Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter. CoRR abs/2308.01833 (2023) - [i4]Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michal Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi:
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing. CoRR abs/2312.08991 (2023) - 2022
- [c3]Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi:
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract). AAAI 2022: 12903-12904 - [i3]Elia Cereda, Stefano Bonato, Mirko Nava, Alessandro Giusti, Daniele Palossi:
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics. CoRR abs/2206.06112 (2022) - 2021
- [c2]Elia Cereda, Marco Ferri, Dario Mantegazza, Nicky Zimmerman, Luca Maria Gambardella, Jérôme Guzzi, Alessandro Giusti, Daniele Palossi:
Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs. DCOSS 2021: 327-334 - [i2]Giorgia Adorni, Elia Cereda:
Learning Relative Interactions through Imitation. CoRR abs/2109.12013 (2021) - [i1]Marco Ferri, Dario Mantegazza, Elia Cereda, Nicky Zimmerman, Luca Maria Gambardella, Daniele Palossi, Jérôme Guzzi, Alessandro Giusti:
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization. CoRR abs/2110.14491 (2021)
2010 – 2019
- 2018
- [c1]Simone Bianco, Elia Cereda, Paolo Napoletano:
Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild. ICCE-Berlin 2018: 1-5
Coauthor Index
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