Time-of-flight Wireless Indoor Navigation System for
Industrial Environment

dc.contributor.author	Rea, Maurizio
dc.contributor.author	Cordobés de la Calle, Héctor
dc.contributor.author	Giustiniano, Domenico
dc.date.accessioned	2021-07-13T09:40:15Z
dc.date.available	2021-07-13T09:40:15Z
dc.date.issued	2019-10-25
dc.identifier.uri	http://hdl.handle.net/20.500.12761/762
dc.description.abstract	We introduce TWINS, Time-of-flight based Wireless Indoor Navigation System, that estimates in near real-time the position of commercial off-the-shelf (COTS) devices equipped with WiFi. TWINS uses COTS WiFi Access Points (APs) and it does not require access to any inertial sensors on the mobile devices. We study the performance of TWINS in a harsh environment, strongly affected by the presence of metallic objects. The scenario can be considered representative of an industrial indoor environment with open spaces surrounded by metal obstacles. We experimentally show that our system can localize four mobile robots tracked together, with median error between 1.8 and 3.8 m.
dc.language.iso	eng
dc.title	Time-of-flight Wireless Indoor Navigation System for Industrial Environment	en
dc.type	conference object
dc.conference.title	The 13th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (ACM WiNTECH 2019), 21-25 October 2019, Los Cabos, Mexico	*
dc.event.type	workshop
dc.pres.type	paper
dc.rights.accessRights	open access
dc.description.refereed	TRUE
dc.description.status	pub
dc.eprint.id	http://eprints.networks.imdea.org/id/eprint/2067