Concept

Vehicle tracking system

Related publications (218)

Robust Localization for Multi-robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter

Alcherio Martinoli, Alicja Barbara Roelofsen, Michiaki Hirayama

This paper presents a thorough experimental evaluation of an extended Gaussian Mixture Probability Hypothesis Density filter which is able to provide state estimates for the maintenance of a multirobot formation, even when the communication fails and the t ...

Springer Nature2021

Calibration of Fixed-Wing UAV Aerodynamic Coefficients with Photogrammetry for VDM-based Navigation

Jan Skaloud, Gabriel François Laupré

Autonomous navigation is a crucial aspect for fixed-wing unmanned aerial vehicle operation when encountering disturbance or denial of GNSS signal reception. Vehicle dynamic model-based navigation improves the performance of methods based exclusively on int ...

2021

Acoustic Resonators for Intracellular Tagging

Rebecca Camilla Leghziel

Cell migration has always been essential for understanding the underlying mechanisms of physiological phenomena. For this reason, many diverse cell tracking methods are presented in literature, such as optical imaging, MRI and radionuclear imaging. However ...

2020

Beam test performance of prototype silicon detectors for the Outer Tracker for the Phase-2 Upgrade of CMS

Qian Wang, Varun Sharma, Konstantin Androsov, Xin Chen, Davide Di Croce, Tian Cheng, Werner Lustermann, Andromachi Tsirou, Andrea Rizzi, David Vannerom, Abhisek Datta, Albert Perez, Alessandro Caratelli, François Robert, Davide Ceresa, Yong Yang, Georgios Anagnostou, Matthias Weber, Francesco Fiori, Quentin Python, Meng Xiao, Kai Yi, Hui Wang, Giorgia Rauco, Ali Harb, Stefano Michelis, François Bianchi

A new CMS tracker detector will be installed for operation at the High Luminosity LHC (HL-LHC). This detector comprises modules with two closely spaced parallel sensor plates and front-end ASICs capable of transmitting tracking information to the CMS Level ...

2020

Dual-Activatable Cell Tracker for Controlled and Prolonged Single-Cell Labeling

Pablo Rivera Fuentes, Salome Riccarda Püntener

Cell trackers are fluorescent chemical tools that facilitate imaging and tracking cells within live organisms. Despite their versatility, these dyes lack specificity, tend to leak outside of the cell, and stain neighboring cells. Here, we report a dual-act ...

AMER CHEMICAL SOC2020

Speed detection of battery-free nodes based on RF Wireless Power Transfer

Catherine Dehollain, Roberto La Rosa

In the Internet of Things (IoT) era, Wireless Sensor Networks (WSNs) are rapidly increasing in terms of relevance and pervasiveness thanks to their notable real-time monitoring performance across several fields, including industrial, domestic, military, bi ...

IEEE2020

Analysis of DP3T - Between Scylla and Charybdis

Serge Vaudenay

To help fighting the COVID-19 pandemic, the Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT) project proposed a Decentralized Privacy-Preserving Proximity Tracing (DP3T) system. This helps tracking the spread of SARS-CoV-2 virus while keeping th ...

2020

EKLT: Asynchronous Photometric Feature Tracking Using Events and Frames

Davide Scaramuzza

We present EKLT, a feature tracking method that leverages the complementarity of event cameras and standard cameras to track visual features with high temporal resolution. Event cameras are novel sensors that output pixel-level brightness changes, called “ ...

2020

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

David Pascucci, Sébastien Tourbier, Patric Hagmann, Gijs Plomp, Michaël Defferrard

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

2020

A robust localization system for multi-robot formations based on an extension of a Gaussian mixture probability hypothesis density filter

Alcherio Martinoli

This paper presents a strategy for providing reliable state estimates that allow a group of robots to realize a formation even when communication fails and the tracking data alone is insufficient for maintaining a stable formation. Furthermore, the trackin ...

2019

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