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Acoustic node calibration using helicopter sounds and Monte Carlo markov chain methods

Related publications (37)

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Modeling Route Choice Behavior Using Smartphone Data

Jingmin Chen

In this thesis, we develop methods for modeling route choice behavior using smartphone data. The developing global positioning system (GPS) technology and the popularity of smartphones have revolutionized the revealed preference route choice data collectio ...

EPFL2013

Quantifying and Protecting Location Privacy

Reza Shokri

Recent developments in information and communication technologies have been profound and life-changing. Most people are now equipped with smart phones with high computation power and communication capabilities. These devices can efficiently run multiple so ...

EPFL2013

A Track Creation and Deletion Framework for Long-Term Online Multi-Face Tracking

Jean-Marc Odobez

To improve visual tracking, a large number of papers study more powerful features, or better cue fusion mechanisms, such as adaptation or contextual models. A complementary approach consists of improving the track management, that is, deciding when to add ...

2013

A Probabilistic Map Matching Method for Smartphone GPS data

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Smartphones have the capability of recording various kinds of data from built-in sensors such as GPS in a non-intrusive, systematic way. In transportation studies, such as route choice modeling, the discrete sequences of GPS data need to be associated with ...

Pergamon-Elsevier Science Ltd2013

Wireless GPS-based phase-locked synchronization system for outdoor environment

Alexander Bahr, Frédéric Meyer, Thomas Lochmatter

Synchronization of data coming from different sources is of high importance in biomechanics to ensure reliable analyses. This synchronization can either be performed through hardware to obtain perfect matching of data, or post-processed digitally. Hardware ...

2012

Quantifying and Protecting Location Privacy

Reza Shokri

EPFL2012

Bayesian detection of asynchronous EEG patterns

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Nicolas Bourdaud

We proposed a Bayesian model for the detection of asynchronous EEG patterns. Based on a skew normal model of the pattern of interest in the time-domain and on the assumption that background activity can be modeled as colored noise, we estimate both the pat ...

2011

Estimating and Learning the Trajectory of Mobile Phones

Mahdad Hosseini Kamal

This project is based on the ongoing data collection campaign by Nokia Re- search Center-Lausanne. We use location data sampled everyday by mobile phones in the campaign to estimate position of the participants. It is with emerging mobile systems that comb ...

2010

Modeling Route Choice Behavior From Smartphone GPS data

Michel Bierlaire, Jingmin Chen, Jeffrey Newman

Smartphones have the capability of recording various kinds of data from built-in sensors such as GPS in a non-intrusive, systematic way. In order to be used as observations for route choice models, the discrete sequences of GPS data need to be associated w ...

2010

Impulse Radio Ultra-WideBand ranging and localization for sensor networks

Hai Zhan

In this thesis, we focus on Impulse Radio (IR) Ultra-WideBand (UWB) ranging and positioning techniques under indoor propagation environments. IR-UWB, a new carrierless communication scheme using impulses, is a candidate technology for future communication, ...

EPFL2009