masterThesis
Uma plataforma adaptável para localização em ambientes internos
Fecha
2016-02-22Registro en:
MELO NETO, Mário Andrade Vieira de. Uma plataforma adaptável para localização em ambientes internos. 2016. 110f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2016.
Autor
Melo Neto, Mário Andrade Vieira de
Resumen
Location systems have become increasingly part of people's lives. For outdoor environments,
GPS appears as standard technology, widely disseminated and used. However,
people usually spend most of their daily time in indoor environments, such as: hospitals,
universities, factories, buildings, etc. In these environments, GPS does not work properly
causing an inaccurate positioning. Currently, to perform the location of people or objects
in indoor environments no single technology could reproduce for indoors the same result
achieved by GPS for outdoors environments. Due to this, it is necessary to consider use
of information from multiple sources using diferent technologies. Thus, this work aims
to build an Adaptable Platform for Indoor location. Based on this goal, the IndoLoR
platform is proposed. This platform aims to allow information reception from diferent
sources, data processing, data fusion, data storage and data retrieval for the indoor location
context.