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...
— 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...
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...
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...
— 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...