| dc.contributor.author | Rea, Maurizio | |
| dc.contributor.author | Cordobés de la Calle, Héctor | |
| dc.contributor.author | Giustiniano, Domenico | |
| dc.date.accessioned | 2021-07-13T09:35:04Z | |
| dc.date.available | 2021-07-13T09:35:04Z | |
| dc.date.issued | 2018-04-11 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12761/608 | |
| dc.description.abstract | We introduce TWINS, Time-of-flight based Wireless Indoor
Navigation System, that estimates the position of commercial
off-the-shelf devices such as smartphones, tablets and laptops using pure commercial off-the-shelf WiFi Access Points in near real-time. TWINS is the result of several years of effort put into research and development. TWINS does not require any inertial sensors on the mobile devices, and it is based on a system that has participated in the 2014 and 2016 MSR Localization Competition editions. | |
| dc.language.iso | eng | |
| dc.title | TWINS: Time-of-flight based Wireless Indoor Navigation System | en |
| dc.type | conference object | |
| dc.conference.date | 11-13 April 2018 | |
| dc.conference.place | Porto, Portugal | |
| dc.conference.title | Microsoft Indoor Localization Competition - The 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2018) | * |
| dc.event.type | conference | |
| dc.pres.type | other | |
| dc.type.hasVersion | VoR | |
| dc.rights.accessRights | open access | |
| dc.description.refereed | FALSE | |
| dc.description.status | pub | |
| dc.eprint.id | http://eprints.networks.imdea.org/id/eprint/1869 | |
