LOCATE-US: Indoor Positioning for Mobile Devices Using Encoded Ultrasonic Signals, Inertial Sensors and Graph-Matching.
Android application
indoor LPS
inertial measurements
sensor fusion
smartphone positioning
ultrasonic signals
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
10 Mar 2021
10 Mar 2021
Historique:
received:
27
01
2021
revised:
06
03
2021
accepted:
08
03
2021
entrez:
3
4
2021
pubmed:
4
4
2021
medline:
4
4
2021
Statut:
epublish
Résumé
Indoor 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.
Identifiants
pubmed: 33802216
pii: s21061950
doi: 10.3390/s21061950
pmc: PMC8001629
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Junta de Comunidades de Castilla-La Mancha
ID : FrailCheck project, SBPLY/17/180501/000392
Organisme : Comunidad de Madrid
ID : CM/JIN/2019-043
Organisme : Ministerio de Ciencia, Innovación y Universidades
ID : RTI2018-095168-B-C51, PID2019-105470RA-C33
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