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Graph Model Based Indoor Tracking
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| Citations: | 28 - 8 self |
BibTeX
@MISC{Jensen_graphmodel,
author = {Christian S. Jensen and Hua Lu and Bin Yang},
title = {Graph Model Based Indoor Tracking},
year = {}
}
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Abstract
The tracking of the locations of moving objects in large indoor spaces is important, as it enables a range of applications related to, e.g., security and indoor navigation and guidance. This paper presents a graph model based approach to indoor tracking that offers a uniform data management infrastructure for different symbolic positioning technologies, e.g., Bluetooth and RFID. More specifically, the paper proposes a model of indoor space that comprises a base graph and mappings that represent the topology of indoor space at different levels. The resulting model can be used for one or several indoor positioning technologies. Focusing on RFID-based positioning, an RFID specific reader deployment graph model is built from the base graph model. This model is then used in several algorithms for constructing and refining trajectories from raw RFID readings. Empirical studies with implementations of the models and algorithms suggest that the paper’s proposals are effective and efficient. 1
Keyphrases
graph model indoor tracking indoor space indoor navigation rfid-based positioning several algorithm uniform data management infrastructure base graph raw rfid reading large indoor space paper proposal different level algorithm suggest empirical study different symbolic positioning technology base graph model
