Daniele Palossi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 65

Top Topics

Pose Estimation

Visual Navigation

Top Venues

IEEE Internet Things J.

Publications

Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. ICRA (2024)
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 (2024)
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 (2024)
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) (2024)
Luca Crupi, Elia Cereda, Daniele Palossi
Fusing Multi-sensor Input with State Information on TinyML Brains for Autonomous Nano-drones. CoRR (2024)
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 (2024)
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) (2024)
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)
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) (2024)
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 (2024)
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)
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) (2024)
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 (2024)
Luca Crupi, Luca Butera, Alberto Ferrante, Daniele Palossi
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones. CoRR (2024)
Luca Crupi, Alessandro Giusti, Daniele Palossi
High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks. CoRR (2024)
Luca Crupi, Alessandro Giusti, Daniele Palossi
High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks. ICRA (2024)
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 (2024)
Elia Cereda, Manuele Rusci, Alessandro Giusti, Daniele Palossi
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors. CoRR (2024)
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)
Elia Cereda, Alessandro Giusti, Daniele Palossi
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. CoRR (2023)
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)
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)
Jawaher Alharbi, Arshad Jhumka, Daniele Palossi
To Checkpoint or Not to Checkpoint: That is the Question. EWSN (2023)
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 (2023)
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)
Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotors. CoRR (2023)
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 (2023)
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)
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 (2023)
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 (2023)
Luca Crupi, Elia Cereda, Alessandro Giusti, Daniele Palossi
Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
Luca Valente, A. 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)
Elia Cereda, Alessandro Giusti, Daniele Palossi
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. EWSN (2023)
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) (2023)
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)
Elia Cereda, Stefano Bonato, Mirko Nava, Alessandro Giusti, Daniele Palossi
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics. CoRR (2022)
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 (2022)
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)
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) (2022)
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)
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)
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 (2021)
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 (2021)
Vlad Niculescu, Lorenzo Lamberti, Daniele Palossi, Luca Benini
Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones. AICAS (2021)
Hanna Miiller, Daniele Palossi, Stefan Mach, Francesco Conti, Luca Benini
Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone. DATE (2021)
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) (2021)
Vlad Niculescu, Michele Magno, Daniele Palossi, Luca Benini
An Energy-efficient Localization System for Imprecisely Positioned Sensor Nodes with Flying UAVs. INDIN (2020)
Daniele Palossi, Francesco Conti, Luca Benini
An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs. DCOSS (2019)
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) (2019)
Daniele Palossi, Francesco Conti, Luca Benini
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs. CoRR (2019)
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) (2019)
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones. CoRR (2018)
Daniele Palossi, Andrea Marongiu, Luca Benini
Ultra low-power visual odometry for nano-scale unmanned aerial vehicles. DATE (2017)
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)
Björn Forsberg, Daniele Palossi, Andrea Marongiu, Luca Benini
GPU-Accelerated Real-Time Path Planning and the Predictable Execution Model. ICCS (2017)
Daniele Palossi, Andrea Marongiu, Luca Benini
On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs. SCOPES (2017)
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) (2017)
Daniele Palossi, Jaskirat Singh, Michele Magno, Luca Benini
Target following on nano-scale Unmanned Aerial Vehicles. IWASI (2017)
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)
Francesco Conti, Daniele Palossi, Andrea Marongiu, Davide Rossi, Luca Benini
Enabling the heterogeneous accelerator model on ultra-low power microcontroller platforms. DATE (2016)
Daniele Palossi, Andrea Marongiu
Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators. SCOPES (2016)
Daniele Palossi, Martino Ruggiero, Luca Benini
3D CV Descriptor on Parallel Heterogeneous Platforms. ACM Trans. Embed. Comput. Syst. 14 (4) (2015)
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)