285 citations · 1.1k across the 93 of their papers we have counts for
10 papers · 1 filter
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization
Philipp Mayer, Michele Magno, Luca Benini
Smart and unobtrusive mobile sensor nodes that accurately track their own position have the potential to augment data collection with location-based functions. To attain this visio…
Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices
Hanna Poikonen, Tomasz Zaluska, Xiaying Wang +2
Current trend in neurosciences is to use naturalistic stimuli, such as cinema, class-room biology or video gaming, aiming to understand the brain functions during ecologically vali…
Fully On-board Low-Power Localization with Multizone Time-of-Flight Sensors on Nano-UAVs
Hanna Müller, Nicky Zimmerman, Tommaso Polonelli +4
Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform autonomous operations in complex environments, such as inspection, monitoring or data collection. Moreo…
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach +3
Autonomous racing is a research field gaining large popularity, as it pushes autonomous driving algorithms to their limits and serves as a catalyst for general autonomous driving.…
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs
Hanna Müller, Vlad Niculescu, Tommaso Polonelli +2
Nano-size drones hold enormous potential to explore unknown and complex environments. Their small size makes them agile and safe for operation close to humans and allows them to na…
Aerosense: A Self-Sustainable And Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
Tommaso Polonelli, Hanna Müller, Weikang Kong +3
This paper presents a low-power, self-sustainable, and modular wireless sensor node for aerodynamic and acoustic measurements on wind turbines and other industrial structures. It i…
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach
Edoardo Ghignone, Nicolas Baumann, Mike Boss +1
Autonomous racing is becoming popular for academic and industry researchers as a test for general autonomous driving by pushing perception, planning, and control algorithms to thei…
Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications
Xiaying Wang, Fabian Geiger, Vlad Niculescu +2
Tactile sensing is a crucial perception mode for robots and human amputees in need of controlling a prosthetic device. Today robotic and prosthetic systems are still missing the im…
MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection
Xiaying Wang, Michael Hersche, Michele Magno +1
A brain--machine interface (BMI) based on motor imagery (MI) enables the control of devices using brain signals while the subject imagines performing a movement. It plays a vital r…
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri +3
Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or direct…