Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/34208
Título: | Person localization using sensor information fusion |
Autor(es): | Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo |
Palavras-chave: | Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic algorithms |
Data: | 2014 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Citação: | Anacleto R., Figueiredo L., Almeida A., Novais P., Person Localization using Sensor Information Fusion, Ambient Intelligence- Software and Applications – 5th International Symposium on Ambient Intelligence (ISAmI 2014), Carlos Ramos, Paulo Novais, Céline Nihan and Juan Corchado (Eds), Springer - Series Advances in Intelligent and Soft Computing, Vol. 291, ISBN 978-3 319-07595-2, pp 53-61, 2014. |
Resumo(s): | Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is di cult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to sup- press this limitation and to provide location everywhere (even where a structured environment doesn't exist) a wearable inertial navigation sys- tem is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/34208 |
ISBN: | 978-3 319-07595-2 |
DOI: | 10.1007/978-3-319-07596-9_6 |
ISSN: | 2194-5357 |
Versão da editora: | http://link.springer.com/chapter/10.1007%2F978-3-319-07596-9_6 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2014 - AISC Springer ISAmI AFAN.pdf | 1,51 MB | Adobe PDF | Ver/Abrir |