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2020 – today
- 2024
[j15]Vlad Niculescu
, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. IEEE Internet Things J. 11(8): 13584-13607 (2024)- [j14]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. IEEE Internet Things J. 11(12): 21372-21390 (2024) - [j13]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping With a Swarm of Nano-Drones. IEEE Internet Things J. 11(20): 32363-32380 (2024) - [c31]Tommaso Polonelli, Vlad Niculescu, Thomas Burger, Michele Magno:
A -79 dBm μ-Watt Wake-Up Receiver for Energy Efficient ISM and LoRa Communication. I2MTC 2024: 1-6 - [c30]Nicolas Scharer, Tommaso Polonelli, Julien Deparday, Michele Magno:
Towards a non-Invasive Monitoring System for Wind Turbine Blades. I2MTC 2024: 1-6 - [d2]Konstantin Kalenberg, Hanna Müller, Tommaso Polonelli, Alberto Schiaffino, Vlad Niculescu, Cristian Cioflan, Michele Magno, Luca Benini:
Stargate: Multimodal Sensor Fusion for Autonomous Navigation on Miniaturized UAVs. Zenodo, 2024
- [i11]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Ultra-Lightweight Collaborative Mapping for Robot Swarms. CoRR abs/2407.03136 (2024) - [i10]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. CoRR abs/2407.21501 (2024) - 2023
- [j12]Tommaso Polonelli, Amirhossein Moallemi, Weikang Kong, Hanna Müller, Julien Deparday, Michele Magno, Luca Benini:
A Self-Sustainable and Micro-Second Time Synchronized Multi-Node Wireless System for Aerodynamic Monitoring on Wind Turbines. IEEE Access 11: 119506-119522 (2023) - [j11]Tommaso Polonelli, Julien Deparday, Imad Abdallah, Sarah Barber, Eleni N. Chatzi, Michele Magno:
Instrumentation and Measurement Systems: Aerosense: A Wireless, Non-Intrusive, Flexible, and MEMS-Based Aerodynamic and Acoustic Measurement System for Operating Wind Turbines. IEEE Instrum. Meas. Mag. 26(4): 12-18 (2023) - [j10]Pascal Bleuler, Tommaso Polonelli, Yu Xiao, Benjamin Stadler, Lorenz Gallina, Hannah Kirchner, Michele Magno, Christian M. Franck:
A Unified Sensor Platform for Investigating Corona Effects on Overhead Lines. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j9]Tobias Margiani, Silvano Cortesi, Milena Keller, Christian Vogt, Tommaso Polonelli, Michele Magno:
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j8]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Charles Moatti, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Toward the Future Generation of Railway Localization Exploiting RTK and GNSS. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j7]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-Based Obstacle Avoidance for Autonomous Miniaturized UAVs. IEEE Trans. Robotics 39(6): 4935-4951 (2023) - [c29]Hanna Müller, Nicky Zimmerman, Tommaso Polonelli, Michele Magno, Jens Behley, Cyrill Stachniss, Luca Benini:
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs. DATE 2023: 1-6 - [c28]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 - [c27]Tommaso Polonelli, Casimir Feldmann, Vlad Niculescu, Hanna Müller, Michele Magno, Luca Benini:
Towards Robust and Efficient On-board Mapping for Autonomous Miniaturized UAVs. IWASI 2023: 9-14 - [c26]Phillip Trummer, Tommaso Polonelli, Julien Deparday, Imad Abdallah, Michele Magno:
Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU. IWASI 2023: 40-45 - [c25]Carl Brander, Cristian Cioflan, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Improving Data-Scarce Image Classification Through Multimodal Synthetic Data Pretraining. SAS 2023: 1-6 - [c24]Denis Mikhaylov, Fu Zheng, Philipp Mayer, Christian Vogt, Tommaso Polonelli, Michele Magno:
Advancing Freight Train Integrity Monitoring for Next-Generation Railway Signaling Using UWB Ranging. WF-IoT 2023: 1-6 - [d1]Denis Mikhaylov, Carla Amatetti, Tommaso Polonelli, Enea Masina, Riccardo Campana, Kai Berszin, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization Exploiting RTK and GNSS. Zenodo, 2023 - [i9]Carl Friess, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones. CoRR abs/2309.03678 (2023) - [i8]Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots. CoRR abs/2309.12008 (2023) - 2022
- [j6]Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti:
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. 3(2): 19:1-19:25 (2022) - [j5]Tommaso Polonelli, Michele Magno, Vlad Niculescu, Luca Benini, David E. Boyle:
An open platform for efficient drone-to-sensor wireless ranging and data harvesting. Sustain. Comput. Informatics Syst. 35: 100734 (2022) - [c23]Andrea Bentivogli, Tommaso Polonelli, Michele Magno, Guido Comai:
Enabling Predictive Maintenance on Electric Motors Through a Self-sustainable Wireless Sensor Node. ApplePies 2022: 3-8 - [c22]Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno:
Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. IGSC 2022: 1-6 - [c21]Vlad Niculescu, Hanna Müller, Iman Ostovar, Tommaso Polonelli, Michele Magno, Luca Benini:
Towards a Multi-Pixel Time-of-Flight Indoor Navigation System for Nano-Drone Applications. I2MTC 2022: 1-6 - [c20]Iman Ostovar, Vlad Niculescu, Hanna Müller, Tommaso Polonelli, Michele Magno, Luca Benini:
Demo Abstract: Towards Reliable Obstacle Avoidance for Nano-UAVs. IPSN 2022: 501-502 - [c19]Carla Amatetti, Tommaso Polonelli, Enea Masina, Charles Moatti, Denis Mikhaylov, Davide Amato, Alessandro Vanelli-Coralli, Michele Magno, Luca Benini:
Towards the Future Generation of Railway Localization and Signaling Exploiting sub-meter RTK GNSS. SAS 2022: 1-6 - [c18]Pengwei Du, Tommaso Polonelli, Michele Magno, Zhiyuan Cheng:
Towards lightweight deep neural network for smart agriculture on embedded systems. SAS 2022: 1-6 - [c17]Tommaso Polonelli, Andrea Bentivogli, Guido Comai, Michele Magno:
Self-sustainable IoT Wireless Sensor Node for Predictive Maintenance on Electric Motors. SAS 2022: 1-6 - [c16]Tommaso Polonelli, Simon Schläpfer, Michele Magno:
Performance Comparison between Decawave DW1000 and DW3000 in low-power double side ranging applications. SAS 2022: 1-6 - [i7]Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti:
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR abs/2203.04396 (2022) - [i6]Tommaso Polonelli, Hanna Müller, Weikang Kong, Raphael Fischer, Luca Benini, Michele Magno:
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines. CoRR abs/2205.11902 (2022) - [i5]Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs. CoRR abs/2208.12624 (2022) - 2021
- [c15]Raphael Fischer, Hanna Müller, Tommaso Polonelli, Luca Benini, Michele Magno:
WindNode: A Long-Lasting And Long-Range Bluetooth Wireless Sensor Node for Pressure and Acoustic Monitoring on Wind Turbines. ICPS 2021: 393-399 - [c14]Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno, Luca Benini:
H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing. ISCAS 2021: 1-5 - [c13]Tommaso Polonelli, Federico Villani, Michele Magno:
Ultra-Low Power Wake-Up Receiver for Location Aware Objects Operating with UWB. WiMob 2021: 369-376 - [i4]Flavio Di Nuzzo, Davide Brunelli, Tommaso Polonelli, Luca Benini:
Structural Health Monitoring system with Narrowband IoT and MEMS sensors. CoRR abs/2104.13029 (2021) - 2020
- [j4]Tommaso Polonelli, Yuan Qin, Eric M. Yeatman, Luca Benini, David E. Boyle:
A Flexible, Low-Power Platform for UAV-Based Data Collection From Remote Sensors. IEEE Access 8: 164775-164785 (2020) - [j3]Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini:
NB-IoT Versus LoRaWAN: An Experimental Evaluation for Industrial Applications. IEEE Trans. Ind. Informatics 16(12): 7802-7811 (2020) - [c12]Davide Brunelli, Tommaso Polonelli, Luca Benini:
Ultra-low energy pest detection for smart agriculture. IEEE SENSORS 2020: 1-4
2010 – 2019
- 2019
- [j2]Tommaso Polonelli, Davide Brunelli, Achille Marzocchi, Luca Benini:
Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment. Sensors 19(4): 838 (2019) - [c11]Tommaso Polonelli, Daniele Battistini, Manuele Rusci, Davide Brunelli, Luca Benini:
An Energy Optimized JPEG Encoder for Parallel Ultra-Low-Power Processing-Platforms. ApplePies 2019: 125-133 - [c10]Massimo Ballerini, Tommaso Polonelli, Davide Brunelli, Michele Magno, Luca Benini:
Experimental Evaluation on NB-IoT and LoRaWAN for Industrial and IoT Applications. INDIN 2019: 1729-1732 - [c9]Tommaso Polonelli, Davide Brunelli, Alberto Girolami, Gerardo Nahuel Demmi, Luca Benini:
A multi-protocol system for configurable data streaming on IoT healthcare devices. IWASI 2019: 112-117 - [i3]Tommaso Polonelli, Davide Brunelli, Andrea Bartolini, Luca Benini:
A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring. CoRR abs/1902.09400 (2019) - [i2]Tommaso Polonelli, Davide Brunelli, Achille Marzocchi, Luca Benini:
Slotted ALOHA on LoRaWAN - Design, Analysis, and Deployment. CoRR abs/1902.09468 (2019) - 2018
- [c8]Tommaso Polonelli, Davide Brunelli, Andrea Bartolini, Luca Benini:
A LoRaWAN Wireless Sensor Network for Data Center Temperature Monitoring. ApplePies 2018: 169-177 - [c7]Tommaso Polonelli, Davide Brunelli, Marco Guermandi, Luca Benini:
An accurate low-cost Crackmeter with LoRaWAN communication and energy harvesting capability. ETFA 2018: 671-676 - [c6]Tommaso Polonelli, Davide Brunelli, Luca Benini:
Slotted ALOHA Overlay on LoRaWAN - A Distributed Synchronization Approach. EUC 2018: 129-132 - [i1]Tommaso Polonelli, Davide Brunelli, Luca Benini:
Slotted ALOHA Overlay on LoRaWAN: a Distributed Synchronization Approach. CoRR abs/1809.02234 (2018) - 2017
- [j1]Michele Magno, Tommaso Polonelli, Filippo Casamassima, Andres Gomez, Elisabetta Farella, Luca Benini:
Energy-Efficient Context Aware Power Management with Asynchronous Protocol for Body Sensor Network. Mob. Networks Appl. 22(5): 814-824 (2017) - 2016
- [c5]Tommaso Polonelli, Michele Magno, Luca Benini:
Poster Abstract: An Ultra-Low Power Wake up Radio with Addressing and Retransmission Capabilities for Advanced Energy Efficient MAC Protocols. IPSN 2016: 67:1-67:2 - [c4]Tommaso Polonelli, Trinh Le Huy, Leonardo Lizzi, Fabien Ferrero, Michele Magno:
A wake-up receiver with ad-hoc antenna co-design for wearable applications. SAS 2016: 1-6 - [c3]Michele Magno, Angelo D'Aloia, Tommaso Polonelli, Lorenzo Spadaro, Luca Benini:
SHelmet: An Intelligent Self-sustaining Multi Sensors Smart Helmet for Bikers. S-CUBE 2016: 55-67 - [c2]Tommaso Polonelli, Michele Magno:
Smart LED Lights Control Using Nano-Power Wake Up Radios. S-CUBE 2016: 93-104 - 2015
- [c1]Michele Magno, Tommaso Polonelli, Luca Benini:
A Smart LED Light Control System for Environmentally Friendly Buildings. ApplePies 2015: 181-189
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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