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2020 – today
- 2024
[j14]Lorenzo Lamberti
, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini:
Distilling Tiny and Ultrafast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. IEEE Internet Things J. 11(20): 33269-33281 (2024)- [j13]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) - [j12]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) - [j11]Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti:
Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task. IEEE Robotics Autom. Lett. 9(4): 3363-3370 (2024) - [j10]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) - [j9]Luca Valente, Alessandro Nadalini, Asif Hussain Chiralil Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi:
A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2266-2279 (2024) - [c32]Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CVPR Workshops 2024: 2182-2190 - [c31]Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello:
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. DATE 2024: 1-6 - [c30]Luca Crupi, Luca Butera, Alberto Ferrante, Daniele Palossi:
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones. DCOSS-IoT 2024: 323-330 - [c29]Luca Crupi, Alessandro Giusti, Daniele Palossi:
High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks. ICRA 2024: 5345-5351 - [c28]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 - [i25]Luca Valente, Alessandro Nadalini, Asif Veeran, Mattia Sinigaglia, Bruno Sá, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi:
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation. CoRR abs/2401.03531 (2024) - [i24]Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello:
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones. CoRR abs/2401.15236 (2024) - [i23]Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, Alessandro Giusti:
Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task. CoRR abs/2402.09886 (2024) - [i22]Luca Crupi, Alessandro Giusti, Daniele Palossi:
High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks. CoRR abs/2402.13756 (2024) - [i21]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) - [i20]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) - [i19]Luca Bompani, Manuele Rusci, Daniele Palossi, Francesco Conti, Luca Benini:
Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems. CoRR abs/2404.11488 (2024) - [i18]Luca Crupi, Luca Butera, Alberto Ferrante, Daniele Palossi:
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones. CoRR abs/2407.00815 (2024) - [i17]Lorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi:
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. CoRR abs/2407.02405 (2024) - [i16]Lorenzo Lamberti, Lorenzo Bellone, Luka Macan, Enrico Natalizio, Francesco Conti, Daniele Palossi, Luca Benini:
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs. CoRR abs/2407.12675 (2024) - [i15]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
- [j8]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV. IEEE Internet Things J. 10(7): 5760-5777 (2023) - [c27]Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini:
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. DATE 2023: 1-6 - [c26]Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini:
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. DCOSS-IoT 2023: 654-660 - [c25]Jawaher Alharbi, Arshad Jhumka, Daniele Palossi:
To Checkpoint or Not to Checkpoint: That is the Question. EWSN 2023: 124-131 - [c24]Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. EWSN 2023: 409-414 - [c23]Luca Valente, Asif Veeran, Mattia Sinigaglia, Yvan Tortorella, Alessandro Nadalini, Nils Wistoff, Bruno Sá, Angelo Garofalo, Rafail Psiakis, M. Tolba, Ari Kulmala, Nimisha Limaye, Ozgur Sinanoglu, Sandro Pinto, Daniele Palossi, Luca Benini, Baker Mohammad, Davide Rossi:
Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs. HCS 2023: 1-12 - [c22]Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini:
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. ICECS 2023: 1-5 - [c21]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 - [c20]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 - [c19]Dominik Schindler, Vlad Niculescu, Tommaso Polonelli, Daniele Palossi, Luca Benini, Michele Magno:
A Relative Infrastructure-less Localization Algorithm for Decentralized and Autonomous Swarm Formation. IROS 2023: 5288-5295 - [c18]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 - [c17]Maicol Ciani, Stefano Bonato, Rafail Psiakis, Angelo Garofalo, Luca Valente, Suresh Sugumar, Alessandro Giusti, Davide Rossi, Daniele Palossi:
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case. ISCAS 2023: 1-5 - [i14]Lorenzo Lamberti, Luca Bompani, Victor Javier Kartsch, Manuele Rusci, Daniele Palossi, Luca Benini:
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones. CoRR abs/2301.12175 (2023) - [i13]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) - [i12]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) - [i11]Maicol Ciani, Stefano Bonato, Rafail Psiakis, Angelo Garofalo, Luca Valente, Suresh Sugumar, Alessandro Giusti, Davide Rossi, Daniele Palossi:
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case. CoRR abs/2303.16554 (2023) - [i10]Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. CoRR abs/2307.01559 (2023) - [i9]Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci, Agata Barcis, Vlad Niculescu, Eliseo Ferrante, Daniele Palossi, Luca Benini:
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization. CoRR abs/2307.10255 (2023) - [i8]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) - [i7]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) - [i6]Mahyar Pourjabar, Manuele Rusci, Luca Bompani, Lorenzo Lamberti, Vlad Niculescu, Daniele Palossi, Luca Benini:
Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration. CoRR abs/2312.13086 (2023) - 2022
- [j7]Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi:
Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs. IEEE Internet Things J. 9(3): 1913-1929 (2022) - [j6]Vlad Niculescu, Daniele Palossi, Michele Magno, Luca Benini:
Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes. Sustain. Comput. Informatics Syst. 34: 100666 (2022) - [c16]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 - [c15]Lorenzo Lamberti, Vlad Niculescu, Michal Barcis, Lorenzo Bellone, Enrico Natalizio, Luca Benini, Daniele Palossi:
Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones. AICAS 2022: 287-290 - [i5]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
- [j5]Vlad Niculescu, Lorenzo Lamberti, Francesco Conti, Luca Benini, Daniele Palossi:
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 548-562 (2021) - [c14]Vlad Niculescu, Lorenzo Lamberti, Daniele Palossi, Luca Benini:
Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones. AICAS 2021: 1-4 - [c13]Hanna Müller, Daniele Palossi, Stefan Mach, Francesco Conti, Luca Benini:
Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone. DATE 2021: 1610-1615 - [c12]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 - [i4]Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi:
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs. CoRR abs/2103.10873 (2021) - [i3]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) - 2020
- [c11]Vlad Niculescu, Michele Magno, Daniele Palossi, Luca Benini:
An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs. INDIN 2020: 188-193
2010 – 2019
- 2019
- [b1]Daniele Palossi:
On the Autonomous Navigation of Nano-UAVs. ETH Zurich, Zürich, Switzerland, 2019 - [j4]Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet Things J. 6(5): 8357-8371 (2019) - [j3]Daniele Palossi, Andres Gomez, Stefan Draskovic, Andrea Marongiu, Lothar Thiele, Luca Benini:
Extending the Lifetime of Nano-Blimps via Dynamic Motor Control. J. Signal Process. Syst. 91(3-4): 339-361 (2019) - [c10]Daniele Palossi, Francesco Conti, Luca Benini:
An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs. DCOSS 2019: 604-611 - [i2]Daniele Palossi, Francesco Conti, Luca Benini:
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs. CoRR abs/1905.04166 (2019) - 2018
- [i1]Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini:
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. CoRR abs/1805.01831 (2018) - 2017
- [j2]Francesco Conti, Daniele Palossi, Renzo Andri, Michele Magno, Luca Benini:
Accelerated Visual Context Classification on a Low-Power Smartwatch. IEEE Trans. Hum. Mach. Syst. 47(1): 19-30 (2017) - [c9]Daniele Palossi, Andres Gomez, Stefan Draskovic, Kevin Keller, Luca Benini, Lothar Thiele:
Self-Sustainability in Nano Unmanned Aerial Vehicles: A Blimp Case Study. Conf. Computing Frontiers 2017: 79-88 - [c8]Daniele Palossi, Andrea Marongiu, Luca Benini:
Ultra low-power visual odometry for nano-scale unmanned aerial vehicles. DATE 2017: 1647-1650 - [c7]Björn Forsberg, Daniele Palossi, Andrea Marongiu, Luca Benini:
GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model. ICCS 2017: 2428-2432 - [c6]Daniele Palossi, Jaskirat Singh, Michele Magno, Luca Benini:
Target following on nano-scale Unmanned Aerial Vehicles. IWASI 2017: 170-175 - [c5]Daniele Palossi, Andrea Marongiu, Luca Benini:
On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs. SCOPES 2017: 85-88 - 2016
- [c4]Daniele Palossi, Michele Furci, Roberto Naldi, Andrea Marongiu, Lorenzo Marconi, Luca Benini:
An energy-efficient parallel algorithm for real-time near-optimal UAV path planning. Conf. Computing Frontiers 2016: 392-397 - [c3]Francesco Conti, Daniele Palossi, Andrea Marongiu, Davide Rossi, Luca Benini:
Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms. DATE 2016: 1201-1206 - [c2]Daniele Palossi, Andrea Marongiu:
Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators. SCOPES 2016: 197-200 - 2015
- [j1]Daniele Palossi, Martino Ruggiero, Luca Benini:
3D CV Descriptor on Parallel Heterogeneous Platforms. ACM Trans. Embed. Comput. Syst. 14(4): 73:1-73:25 (2015) - 2013
- [c1]Daniele Palossi, Federico Tombari, Samuele Salti, Martino Ruggiero, Luigi Di Stefano, Luca Benini:
GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description. CVPR Workshops 2013: 584-591
Coauthor Index
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