Sistema de posicionamiento en interiores basado en señal ópticaCalibración rápida

  1. David Rodríguez 1
  2. Álvaro de la Llana 1
  3. José Luis Lázaro 1
  4. Alfredo Gardel 1
  5. Felipe Espinosa 1
  6. Ignacio Bravo 1
  1. 1 Universidad de Alcalá
    info
    Universidad de Alcalá

    Alcalá de Henares, España

    ROR https://ror.org/04pmn0e78

    Geographic location of the organization Universidad de Alcalá
Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Year of publication: 2018

Pages: 218-223

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference Paper

DOI: 10.17979/SPUDC.9788497497565.0218 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

Indoor Positioning Systems (IPS) usually require a calibration process to obtain precise measurements. In the case of systems with optical components, calibration may be time consuming and require a specific infrastructure. In this paper, we present a model and a calibration method for an optical sensor based on Direct Linear Transformation (DLT), which directly obtains the transformation between the sensor surface on which the signal is received and the surface of the moving agent from which signal is emitted. Our method provides results comparable to those that would be obtained with an optimal calibration, with differences of only a few mm. wide spaces.