Mejoras en el algoritmo de posicionamiento en interiores mediante sensores RGB-D y redes Wifi

  1. Jaime Duque Domingo 1
  2. Carlos Cerrada 1
  3. Enrique Valero 2
  1. 1 Universidad Nacional de Educación a Distancia (España)
  2. 2 Heriot-Watt University
    info

    Heriot-Watt University

    Edimburgo, Reino Unido

    ROR https://ror.org/04mghma93

Llibre:
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.)

Editorial: Universidad de Extremadura

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

Any de publicació: 2018

Pàgines: 945-950

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

Tipus: Aportació congrés

DOI: 10.17979/SPUDC.9788497497565.0945 DIALNET GOOGLE SCHOLAR lock_openRUC editor

Resum

This paper presents an improvement of an indoor positioning algorithm previously developed by the authors. This algorithm obtains the position of several people whomove freely in an inhabited environment composed of different rooms. The algorithm takes into account computer vision positioning and WiFi positioning, combining the information from both systems to increase accuracy. The improvement proposed in this article refers to a limitation of the algorithm by which the number ofpeople detected by RGB-D sensors has to be equal to the number of people detected by WiFi. The improvement allows working with different number of people in each system, which can be common in scenarios where a user is not detected by one of the methods. Besides, the improvement also simplifies the method of placement of RGB-D sensors in the scenario.

Fuente de los datos: Dialnet