@conference {1521567,
	title = {Accurate Indoor Localization with Zero Startup Cost},
	booktitle = {ACM Conference on Mobile Computing and Networking (MobiCom)},
	year = {2014},
	abstract = {Recent years have seen the advent of new RF-localization systems that demonstrate tens of centimeters of accuracy. However,
such systems require either deployment of new infrastructure, or
extensive fingerprinting of the environment through training or
crowdsourcing, impeding their wide-scale adoption.
We present Ubicarse, an accurate indoor localization system
for commodity mobile devices, with no specialized infrastructure
or fingerprinting. Ubicarse enables handheld devices to emulate
large antenna arrays using a new formulation of Synthetic Aperture Radar (SAR). Past work on SAR requires measuring mechanically controlled device movement with millimeter precision, far
beyond what commercial accelerometers can provide. In contrast,
Ubicarse{\textquoteright}s core contribution is the ability to perform SAR on handheld devices twisted by their users along unknown paths. Ubicarse
is not limited to localizing RF devices; it combines RF localization with stereo-vision algorithms to localize common objects with
no RF source attached to them. We implement Ubicarse on a HP
SplitX2 tablet and empirically demonstrate a median error of 39 cm
in 3-D device localization and 17 cm in object geotagging in complex indoor settings.},
	author = {Kumar, S. and S. Gil and Rus, D. and D. Katabi}
}
