Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/14507| Título: | Providing location everywhere |
| Autor(es): | Anacleto, Ricardo Figueiredo, Lino Novais, Paulo Almeida, Ana |
| Palavras-chave: | Location systems Dead reckoning GPS MEMS Machine learning Optimization |
| Data: | 2011 |
| Editora: | Springer Verlag |
| Revista: | Progress in Artificial Intelligence |
| Resumo(s): | 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. |
| Tipo: | Artigo |
| 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. |
| URI: | https://hdl.handle.net/1822/14507 |
| DOI: | 10.1007/978-3-642-24769-9_2 |
| ISSN: | 1611-3349 |
| Versão da editora: | http://dx.doi.org/10.1007/978-3-642-24769-9_2 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| EPIA2011.pdf | 377,6 kB | Adobe PDF | Ver/Abrir |
