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

David Gualda1,2, María Carmen Pérez-Rubio1, Jesús Ureña1

  • 1Department of Electronics, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

LOCATE-US offers precise indoor positioning using ultrasonic and inertial sensors on mobile devices. This privacy-oriented system corrects drift errors for accurate real-time location and trajectory tracking.

Keywords:
Android applicationindoor LPSinertial measurementssensor fusionsmartphone positioningultrasonic signals

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Area of Science:

  • * Ubiquitous Computing
  • * Sensor Fusion
  • * Indoor Navigation

Background:

  • * Indoor positioning lacks a universal standard, unlike outdoor Global Navigation Satellite Systems (GNSS).
  • * Existing systems struggle with accuracy and privacy concerns for mobile devices.
  • * Precise localization is crucial for emerging Location-Based Services (LBS).

Purpose of the Study:

  • * To introduce LOCATE-US, a novel indoor positioning system for commercial mobile devices.
  • * To achieve high accuracy (sub-decimeter) and adjustable granularity.
  • * To enhance privacy by enabling on-device position computation.

Main Methods:

  • * Fusing ultrasonic (Ultrasonic Local Positioning Systems - U-LPS) and inertial sensor data.
  • * Employing an improved Time Differences of Arrival (TDOA) estimation for ultrasonic signals.
  • * Integrating map information and graph-matching with prior navigation knowledge.

Main Results:

  • * Real-time location and trajectory display at a 10 Hz rate.
  • * Accurate positioning by correcting inertial drift errors with U-LPS.
  • * System designed for privacy and on-device processing.

Conclusions:

  • * LOCATE-US provides a viable solution for accurate and privacy-oriented indoor positioning.
  • * The system's architecture supports future sensor integration (e.g., UWB, RFiD).
  • * Enables diverse Location-Based Services like augmented reality and assistance applications.