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Hybridation MEMS/UWB pour la navigation pédestre intra-muros

Related publications (38)

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From Centralized to Distributed Sensor Localization

Amin Karbasi

In this work we consider the problem of sensor localization when only the connectivity information is available. More specifically, we compare the performance of the centralized algorithm MDS-MAP with its distributed version HOP-TERRAIN. We show that both ...

2010

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm

Amin Karbasi, Andrea Montanari

Sensor localization from only connectivity information is a highly challenging problem. To this end, our result for the first time establishes an analytic bound on the performance of the popular MDS-MAP algorithm based on multidimensional scaling. For a ne ...

2009

Optimal Data Fusion for Pedestrian Navigation based on UWB and MEMS

Bertrand Merminod

Indoor pedestrian navigation is probably a very challenging research area. In this context, an optimal data fusion filter that hybridises a large set of observations: angles of arrival (AOA), time differences of arrival (TDOA), accelerations, angular veloc ...

2008

Improvement of Orientation Estimation in Pedestrian Navigation by Compensation of Magnetic Disturbances

Phillip Tomé, Okan Yalak

Over the last few years there has been a growing interest in the domain of pedestrian navigation, stimulated by the increasing demand for Location Based Services. Pedestrian Dead Reckoning (PDR) based on MEMS sensors has been at the heart of most high-end ...

2008

UWB and MEMS Based Indoor Navigation

Bertrand Merminod, Sylvain Pittet

Thanks to its physical characteristics, Ultra-wideband (UWB) is one of the most promising technologies for indoor pedestrian navigation. UWB radio localisation systems however experience multipath phenomena that decrease the precision and the reliability o ...

2008

Development of a robotic mobile mapping system by vision-aided inertial navigation

Fadi Atef Bayoud

Vision-based inertial-aided navigation is gaining ground due to its many potential applications. In previous decades, the integration of vision and inertial sensors was monopolised by the defence industry due to its complexity and unrealistic economic burd ...

EPFL2006

Bayesian Approach for Indoor Pedestrian Localisation

Michel Bierlaire, Bertrand Merminod

The principal concept of navigation is to start from a known (initial) position and to ensure a continued and reliable localisation of the user during his/her movement. The initial position of the trajectory is usually obtained via GPS or defined by the us ...

2006

Map-matching for pedestrians via Bayesian inference

Michel Bierlaire, Bertrand Merminod

A navigation process is to start from a known (initial) position and to ensure a continued localisation of the user during the movement. Consider a pedestrian navigation system which contains a GPS receiver and a set of inertial sensors connected with the ...

2006

Bayesian Inference for Autonomous Personal Localisation Indoors

Michel Bierlaire, Bertrand Merminod

2006

Bayesian Approach for Indoor Pedestrian Localisation

STRC 20062006