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Estimating and Learning the Trajectory of Mobile Phones

Publications associées (42)

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Depth Camera and Electromagnetic Field Localization System For IoT Application - High level, lightweight data fusion

Yves Perriard, Alexis Boegli, Pooneh Mohaghegh, Rabia Saeed

This article demonstrates person localization using a hybrid system consisting of an electromagnetic positioning system and a depth camera to authorize access control. The ultimate aim of this system is to distinguish moving people in a defined area by tra ...

Association for Computing Machinery2021

Indoor Positioning System Based on Global Positioning System Signals with Down- and Up-Converters in 433 MHz ISM Band

Amir Mohsen Ahmadi Najafabadi, Abdulkadir Uzun

In this paper, an indoor positioning system using Global Positioning System (GPS) signals in the 433 MHz Industrial Scientific Medical (ISM) band is proposed, and an experimental demonstration of how the proposed system operates under both line-of-sight an ...

2021

Demand Estimation for an eVTOL Commuting Service

Urban Air Mobility offers today interesting characteristics to disrupt the transportation industry and to become one its driving forces. In this report, we examine and compare the potential market size of a commuting service operated by electric vertical t ...

2020

Assessing motorcycle taxi activity in Cameroon using GPS devices

Jérôme Chenal, Armel Firmin Kemajou Mbianda, Martí Bosch Padrós, Rémi Jaligot

The emergence of motorcycle taxis as a mode of urban transport in Africa can be seen as a bottom-up response to the larger problem of a demand that is not sufficiently met by public services. Transcending the debates regarding the relevance of this solutio ...

2019

For estimating parameters of discrete choice models, observations corresponding to the models are required. In the context of route choice models, we need the information of paths, which are sequences of links and connect between the origin-destination pa ...

2017

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Martin Vetterli, Paul Hurley, Thierry Blu, Matthieu Martin Jean-André Simeoni, Hanjie Pan

Context. Two main classes of imaging algorithms have emerged in radio interferometry: the CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They are both discrete in nature, and estimate source locations and intensities on ...

2017

RGB-W: When Vision Meets Wireless

Alexandre Massoud Alahi

Inspired by the recent success of RGB-D cameras, we propose the enrichment of RGB data with an additional "quasi-free" modality, namely, the wireless signal (e.g., wifi or Bluetooth) emitted by individuals' cell phones, referred to as RGB-W. The received s ...

IEEE2015

We present a new approach to address the problem of large sequence mining from big data. The particular problem of interest is the effective mining of long sequences from large-scale location data to be practical for Reality Mining applications, which suff ...

2014

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

EnviroMeter: A Platform for Querying Community-Sensed Data

Karl Aberer, Dipanjan Chakraborty, Saket Sathe

Efficiently querying data collected from Large-area Communitydriven Sensor Networks (LCSNs) is a new and challenging problem. In our previous works, we proposed adaptive techniques for learning models (e.g., statistical, non-parametric, etc.) from such dat ...

2013