ARTICLE
Ahead of print publication

A Multi-Sensor Fusion for Indoor-Outdoor Localization Using A Particle Filter

Abdelghani Belakbir, Mustapha Amghar, Nawal Sbiti
 Laboratory of Automation and Industrial Informatics, The Mohammadia School of Engineering, University Mohammed V Agdal, Rabat, Morocco

Correspondence Address:

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0976-8580.158563

Abstract

The location of people and objects relative to their environment is a crucial piece of information, and the need to obtain a precise position in a short time at any point, leads to use an efficient navigation system. We distinguish the outdoor and the indoor environments, for the first case the localization information can be provided by a constellation of satellites called a global navigation satellite systems such as global positioning system (GPS) or Galileo, but in the indoor environments other techniques are used. This paper provides a multi-sensor fusion (GPS and ultra-wideband) for indoor-outdoor localization using a particle filter and we evaluate the combination of both technologies.

Keywords: Fusion data, global navigation satellite systems, indoor localization, radio frequency localization, particle filter, ultra-wideband