LOCATE‐US: Indoor Positioning for Mobile Devices Using Encoded Ultrasonic Signals, Inertial Sensors and Graph‐Matching

dc.contributor.authorGualda, David
dc.contributor.authorPérez, María del Carmen
dc.contributor.authorUreña, Jesús
dc.contributor.authorPérez, Sergio
dc.contributor.authorVilladangos, José Manuel
dc.contributor.authorHernández, Álvaro
dc.contributor.authorGarcía, Juan Jesús
dc.contributor.authorJiménez, Ana
dc.date.accessioned2023-12-26T17:15:17Z
dc.date.available2023-12-26T17:15:17Z
dc.date.issued2021-03-10
dc.description.abstractIndoor positioning remains a challenge and, despite much research and development carried out in the last decade, there is still no standard as with the Global Navigation Satellite Systems (GNSS) outdoors. This paper presents an indoor positioning system called LOCATE-US with adjustable granularity for use with commercial mobile devices, such as smartphones or tablets. LOCATE-US is privacy-oriented and allows every device to compute its own position by fusing ultrasonic, inertial sensor measurements and map information. Ultrasonic Local Positioning Systems (U-LPS) based on encoded signals are placed in critical zones that require an accuracy below a few decimeters to correct the accumulated drift errors of the inertial measurements. These systems are well suited to work at room level as walls confine acoustic waves inside. To avoid audible artifacts, the U-LPS emission is set at 41.67 kHz, and an ultrasonic acquisition module with reduced dimensions is attached to the mobile device through the USB port to capture signals. Processing in the mobile device involves an improved Time Differences of Arrival (TDOA) estimation that is fused with the measurements from an external inertial sensor to obtain real-time location and trajectory display at a 10 Hz rate. Graph-matching has also been included, considering available prior knowledge about the navigation scenario. This kind of device is an adequate platform for Location-Based Services (LBS), enabling applications such as augmented reality, guiding applications, or people monitoring and assistance. The system architecture can easily incorporate new sensors in the future, such as UWB, RFiD or others.es
dc.identifier.citationGualda, D., Pérez-Rubio, M. C., Ureña, J., Pérez-Bachiller, S., Villadangos, J. M., Hernández, Á., García, J. J., & Jiménez, A. (2021). LOCATE-US: Indoor Positioning for Mobile Devices Using Encoded Ultrasonic Signals, Inertial Sensors and Graph-Matching. Sensors, 21(6), 1950. https://doi.org/10.3390/s21061950es
dc.identifier.doi10.3390/s21061950es
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/10115/27889
dc.language.isoenges
dc.publisherMDPIes
dc.rightsAtribución 4.0 Internacional*
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectIndoor LPSes
dc.subjectSmartphone positioninges
dc.subjectUltrasonic signalses
dc.subjectInertial measurementses
dc.subjectSensor fusiones
dc.subjectAndroid applicationes
dc.titleLOCATE‐US: Indoor Positioning for Mobile Devices Using Encoded Ultrasonic Signals, Inertial Sensors and Graph‐Matchinges
dc.typeinfo:eu-repo/semantics/articlees

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