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Map-based Autonomous Personal Localization and Tracking

Publications associées (58)

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Diffusion distributed Kalman filtering with adaptive weights

Ali H. Sayed

We study the problem of distributed Kalman filtering, where a set of nodes are required to collectively estimate the state of a linear dynamic system from their measurements. In diffusion Kalman filtering strategies, neighboring state estimates are linearl ...

IEEE2009

Cooperative Localization for Autonomous Underwater Vehicles

Alexander Bahr

The absence of GPS underwater makes navigation for Autonomous Underwater Vehicles (AUVs) a difficult challenge. Without an external reference in the form of acoustic beacons at known positions, the vehicle has to rely on proprioceptive information obtained ...

Springer2008

Tracking the visual focus of attention for a varying number of wandering people

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba, Kevin Smith

In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W) -- determining where a person is looking when their movement is unconstrained. VFOA-W estimation is a new and impo ...

2008

Objektverfolgung mit Partikel-Filtern

Die Analyse des zeitlichen Ablaufs der Bewegung von Objekten im Abbildungsbereich einer Kamera (Objektverfolgung oder engl. object tracking) erlaubt die Ableitung von verkehrlich relevanten Parametern, aber auch Rückschlüsse für eine automatische Beschreib ...

2008

Algorithms for map-aided autonomous indoor pedestrian positioning and navigation

The personal positioning and navigation became a very challenging topic in our dynamic time. The urban canyons and particularly indoors represent the most difficult areas for personal navigation problematic. Problems like disturbed satellite signals make t ...

EPFL2007

Target tracking using a joint acoustic video system

Volkan Cevher

In this paper, we present a particle filter that exploits multi modal information for robust target tracking. We demonstrate a Bayesian framework for combining acoustic and video information using a state space approach. A proposal strategy for joint acous ...

2007

A Monte-Carlo approach for tracking mobile personnel

Volkan Cevher

In this paper, we propose a Monte-Carlo method based on the particle filter framework to track footfall locations generated by mobile personnel using seismic arrays. While the particle proposal function follows a simple bootstrap approach, the novelty in o ...

2007

Bayesian Inference for Autonomous Personal Localisation Indoors

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

Bayesian Approach for Indoor Pedestrian Localisation

Michel Bierlaire, Bertrand Merminod

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