Elia Cereda
Orcid: 0000-0001-8888-3538
According to our database1,
Elia Cereda authored at least 22 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Self-supervised Domain Adaptation for Visual 3D Pose Estimation of Nano-drone Racing Gates by Enforcing Geometric Consistency.
CoRR, March, 2026
Tiny-DroNeRF: Tiny Neural Radiance Fields aboard Federated Learning-enabled Nano-drones.
CoRR, March, 2026
NanoCockpit: Performance-optimized Application Framework for AI-based Autonomous Nanorobotics.
CoRR, January, 2026
IEEE Internet Things J., 2026
2025
Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs.
CoRR, December, 2025
2024
Training on the Fly: On-Device Self-Supervised Learning Aboard Nano-Drones Within 20 mW.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024
Corrections to "a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing".
IEEE Robotics Autom. Lett., October, 2024
J. Intell. Robotic Syst., June, 2024
IEEE Robotics Autom. Lett., February, 2024
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones.
Proceedings of the European Robotics Forum 2024, 2024
2023
Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter.
CoRR, 2023
Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters.
IROS, 2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023
2022
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization.
CoRR, 2021
Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
2018
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018