Literature DB >> 33802216

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

David Gualda1,2, María Carmen Pérez-Rubio1, Jesús Ureña1, Sergio Pérez-Bachiller1, José Manuel Villadangos1, Álvaro Hernández1, Juan Jesús García1, Ana Jiménez1.   

Abstract

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.

Entities:  

Keywords:  Android application; indoor LPS; inertial measurements; sensor fusion; smartphone positioning; ultrasonic signals

Year:  2021        PMID: 33802216     DOI: 10.3390/s21061950

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Simulation Tool and Online Demonstrator for CDMA-Based Ultrasonic Indoor Localization Systems.

Authors:  María Carmen Pérez-Rubio; Álvaro Hernández; David Gualda-Gómez; Santiago Murano; Jorge Vicente-Ranera; Francisco Ciudad-Fernández; José Manuel Villadangos; Rubén Nieto
Journal:  Sensors (Basel)       Date:  2022-01-28       Impact factor: 3.576

2.  Smartphone-Based Social Distance Detection Technology with Near-Ultrasonic Signal.

Authors:  Naizheng Jia; Haoran Shu; Xinheng Wang; Bowen Xu; Yuzhang Xi; Can Xue; Youming Liu; Zhi Wang
Journal:  Sensors (Basel)       Date:  2022-09-27       Impact factor: 3.847

  2 in total

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