185 citations · 727 across the 20 of their papers we have counts for
7 papers · 1 filter
Scale up to infinity: the UWB Indoor Global Positioning System
Luca Santoro, Matteo Nardello, Davide Brunelli +1
Determining assets position with high accuracy and scalability is one of the most investigated technology on the market. The accuracy provided by satellites-based positioning syste…
TinyML Platforms Benchmarking
Anas Osman, Usman Abid, Luca Gemma +2
Recent advances in state-of-the-art ultra-low power embedded devices for machine learning (ML) have permitted a new class of products whose key features enable ML capabilities on m…
On-line Optimal Ranging Sensor Deployment for Robotic Exploration
Luca Santoro, Davide Brunelli, Daniele Fontanelli
Navigation in an unknown environment without any preexisting positioning infrastructure has always been hard for mobile robots. This paper presents a self-deployable ultra wideband…
KNN Learning Techniques for Proportional Myocontrol in Prosthetics
Tim Sziburis, Markus Nowak, Davide Brunelli
This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification technique…
Automated Pest Detection with DNN on the Edge for Precision Agriculture
Andrea Albanese, Matteo Nardello, Davide Brunelli
Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research eff…
Trimming Feature Extraction and Inference for MCU-based Edge NILM: a Systematic Approach
Enrico Tabanelli, Davide Brunelli, Andrea Acquaviva +1
Non-Intrusive Load Monitoring (NILM) enables the disaggregation of the global power consumption of multiple loads, taken from a single smart electrical meter, into appliance-level…