Daniele Palossi

Victor Javier Kartsch Morinigo

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".

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2024

Distilling Tiny and Ultrafast Deep Neural Networks for Autonomous Navigation on Nano-UAVs.

[BibT_eX]

[DOI]

IEEE Internet Things J., October, 2024

Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., June, 2024

A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation.

[BibT_eX]

[DOI]

Luca Valente

Alessandro Nadalini

Asif Hussain Chiralil Veeran

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing.

[BibT_eX]

[DOI]

Victor Javier Kartsch Morinigo

IEEE Robotics Autom. Lett., February, 2024

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs.

[BibT_eX]

[DOI]

CoRR, 2024

Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones.

[BibT_eX]

[DOI]

Luca Crupi

CoRR, 2024

High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks.

[BibT_eX]

[DOI]

Luca Crupi

Beatrice Alessandra Motetti

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones.

[BibT_eX]

[DOI]

Luca Crupi

Mustafa Omer Mohammed Elamin Elshaigi

Matteo Risso

Daniele Jahier Pagliari

Alessio Burrello

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV.

[BibT_eX]

[DOI]

IEEE Internet Things J., April, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation.

[BibT_eX]

[DOI]

IROS, 2023

Sim-to-Real Vision-Depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopters.

[BibT_eX]

[DOI]

IROS, 2023

Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs.

[BibT_eX]

[DOI]

Daniele Jahier Pagliari

Stefano Carlo Lambertenghi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

[BibT_eX]

[DOI]

Stefano Bonato

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

To Checkpoint or Not to Checkpoint: That is the Question.

[BibT_eX]

[DOI]

Jawaher Alharbi

Arshad Jhumka

Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.

[BibT_eX]

[DOI]

Lorenzo Lamberti

Luca Bompani

Victor Javier Kartsch

Manuele Rusci

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes.

[BibT_eX]

[DOI]

Sustain. Comput. Informatics Syst., 2022

Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization.

[BibT_eX]

[DOI]

CoRR, 2021

Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs.

[BibT_eX]

[DOI]

CoRR, 2021

Improving the Generalization Capability of DNNs for Ultra-low Power Autonomous Nano-UAVs.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019

On the Autonomous Navigation of Nano-UAVs.

[BibT_eX]

[DOI]

PhD thesis, 2019

Extending the Lifetime of Nano-Blimps via Dynamic Motor Control.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2019

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs.

[BibT_eX]

[DOI]

Francesco Conti

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018

Ultra Low Power Deep-Learning-powered Autonomous Nano Drones.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Accelerated Visual Context Classification on a Low-Power Smartwatch.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2017

On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs.

[BibT_eX]

[DOI]

Andrea Marongiu

Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, 2017

Target following on nano-scale Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2017

Ultra low-power visual odometry for nano-scale unmanned aerial vehicles.

[BibT_eX]

[DOI]

Andrea Marongiu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Self-Sustainability in Nano Unmanned Aerial Vehicles: A Blimp Case Study.

[BibT_eX]

[DOI]

Proceedings of the Computing Frontiers Conference, 2017

2016

Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators.

[BibT_eX]

[DOI]

Andrea Marongiu

Proceedings of the 19th International Workshop on Software and Compilers for Embedded Systems, 2016

Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms.

[BibT_eX]

[DOI]

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

An energy-efficient parallel algorithm for real-time near-optimal UAV path planning.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2015

3D CV Descriptor on Parallel Heterogeneous Platforms.

[BibT_eX]

[DOI]

Martino Ruggiero