Daniele Palossi

Orcid: 0000-0003-4487-0836

According to our database1, Daniele Palossi authored at least 46 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing.
IEEE Robotics Autom. Lett., February, 2024

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task.
IEEE Robotics Autom. Lett., 2024

On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.
CoRR, 2024

High-throughput Visual Nano-drone to Nano-drone Relative Localization using Onboard Fully Convolutional Networks.
CoRR, 2024

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones.
CoRR, 2024

A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation.
CoRR, 2024

2023
Energy-Efficient, Precise UWB-Based 3-D Localization of Sensor Nodes With a Nano-UAV.
IEEE Internet Things J., April, 2023

Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter.
CoRR, 2023

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization.
CoRR, 2023

Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones.
CoRR, 2023

Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

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

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration.
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.
Proceedings of the 35th IEEE Hot Chips Symposium, 2023

Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.
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.
Sustain. Comput. Informatics Syst., 2022

Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs.
IEEE Internet Things J., 2022

Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics.
CoRR, 2022

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones.
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).
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.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization.
CoRR, 2021

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

Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Automated Tuning of End-to-end Neural Flight Controllers for Autonomous Nano-drones.
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.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019
On the Autonomous Navigation of Nano-UAVs.
PhD thesis, 2019

Extending the Lifetime of Nano-Blimps via Dynamic Motor Control.
J. Signal Process. Syst., 2019

A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones.
IEEE Internet Things J., 2019

An Open Source and Open Hardware Deep Learning-Powered Visual Navigation Engine for Autonomous Nano-UAVs.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018
Ultra Low Power Deep-Learning-powered Autonomous Nano Drones.
CoRR, 2018

2017
Accelerated Visual Context Classification on a Low-Power Smartwatch.
IEEE Trans. Hum. Mach. Syst., 2017

On the Accuracy of Near-Optimal CPU-Based Path Planning for UAVs.
Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems, 2017

Target following on nano-scale Unmanned Aerial Vehicles.
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.
Proceedings of the International Conference on Computational Science, 2017

Ultra low-power visual odometry for nano-scale unmanned aerial vehicles.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Self-Sustainability in Nano Unmanned Aerial Vehicles: A Blimp Case Study.
Proceedings of the Computing Frontiers Conference, 2017

2016
Exploring Single Source Shortest Path Parallelization on Shared Memory Accelerators.
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.
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.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2015
3D CV Descriptor on Parallel Heterogeneous Platforms.
ACM Trans. Embed. Comput. Syst., 2015

2013
GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013


  Loading...