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» Parallel Algorithms for Bayesian Indoor Positioning Systems
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ICPP
2007
IEEE
13 years 11 months ago
Parallel Algorithms for Bayesian Indoor Positioning Systems
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Konstantinos Kleisouris, Richard P. Martin
INFOCOM
2005
IEEE
13 years 11 months ago
Bayesian indoor positioning systems
— In this paper, we introduce a new approach to location estimation where, instead of locating a single client, we simultaneously locate a set of wireless clients. We present a B...
David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua...
EUROPAR
2007
Springer
13 years 11 months ago
Analysis of a Kalman Approach for a Pedestrian Positioning System in Indoor Environments
In this work we present the design principles of a wearable positioning system for users in unprepared indoor environments. We describe the most suitable technology for our applica...
Edith Pulido Herrera, Ricardo Quirós, Hanne...
WSTFEUS
2003
IEEE
13 years 10 months ago
DOLPHIN: An Autonomous Indoor Positioning System in Ubiquitous Computing Environment
Determining physical location of indoor objects is one of the key issues in development of context-aware applications in ubiquitous computing environment. This is mainly because c...
Yasuhiro Fukuju, Masateru Minami, Hiroyuki Morikaw...
WIMOB
2007
IEEE
13 years 11 months ago
WLocator: An Indoor Positioning System
— There exists a multitude of location-sensing systems utilizing wireless technology, though varying in cost, coverage and accuracy. In this paper we will introduce WLocator, a s...
Shaun Phillips, Michael Katchabaw, Hanan Lutfiyya