Autor(es):
Anacleto, Ricardo 
; Figueiredo, Lino ; Novais, Paulo ; Almeida, Ana
Data: 2011
Identificador Persistente: http://hdl.handle.net/1822/14507
Origem: RepositóriUM - Universidade do Minho
Assunto(s): Location systems; Dead reckoning; GPS; MEMS; Machine learning; Optimization
Descrição
Anacleto R., Figueiredo L., Novais P., Almeida A., Providing Location Everywhere, in Progress in Artificial Intelligence, Antunes L., Sofia Pinto H. (eds), Lecture Notes in Artificial Intelligence 7026, Springer-Verlag, ISBN 978-3-540-24768-2, (Proceedings of the 15th Portuguese conference on Artificial Intelligence - EPIA 2011, Lisboa, Portugal), pp 15-28, 2011. The ability to locate an individual is an essential part of many applications, specially the mobile ones. Obtaining this location
in an open environment is relatively simple through GPS (Global Positioning System), but indoors or even in dense environments this type of
location system doesn’t provide a good accuracy. There are already systems that try to suppress these limitations, but most of them need the
existence of a structured environment to work. Since Inertial Navigation Systems (INS) try to suppress the need of a structured environment we
propose an INS based on Micro Electrical Mechanical Systems (MEMS) that is capable of, in real time, compute the position of an individual everywhere.
