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» Parallel Algorithms for Bayesian Indoor Positioning Systems
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ICPP
2007
IEEE
15 years 4 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
15 years 3 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
15 years 4 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
15 years 3 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
15 years 4 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