| 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 | |
