Rizanne Elbakly

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Due to the noisy indoor radio propagation channel, Radio Frequency (RF)-based location determination systems usually require a tedious calibration phase to construct an RF fingerprint of the area of interest. This fingerprint varies with the used mobile device, changes of the transmit power of smart access points (APs), and dynamic changes in the(More)
We present the design, implementation, and evaluation of <i>NaviRize</i>: a novel system that can provide calibration-free, accurate RF-based indoor localization that works in realistic environments on heterogeneous devices. <i>NaviRize</i> is based on the space partitioning of the installed RF Transmitters (RFTXs) and exploits constraints based on the(More)
Accurate estimation of the confidence of an indoor localization system is crucial for a number of applications including crowd-sensing applications, map-matching services, and probabilistic location fusion techniques; all of which lead to an enhanced user experience. Current approaches for quantifying the output accuracy of a localization system in(More)
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