Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/43865| Título: | Indoor tracking from multidimensional sensor data |
| Autor(es): | Moreira, Adriano Nicolau, Maria João Costa, António Meneses, Filipe |
| Palavras-chave: | indoor positioning competition tracking WiFi fingerprinting floor detection |
| Data: | Out-2016 |
| Editora: | IEEE |
| Revista: | International Conference on Indoor Positioning and Indoor Navigation |
| Citação: | Adriano Moreira, Maria João Nicolau, António Costa, Filipe Meneses, “Indoor tracking from multidimensional sensor data”, in proceedings of the 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 4-7 October, Alcalá de Henares, Madrid, Spain, 2016. |
| Resumo(s): | Tracking the position of people or vehicles in large indoor settings with high accuracy is still a challenge despite the significant progress observed in indoor positioning technology in the last decade. To date, there is not a clearly dominant indoor positioning solution for general use, and challenges related to seamless indoor-outdoor positioning, reliable floor estimation and indoor maps are still needing more research. In this context, the IPIN 2016 conference is promoting a competition to evaluate a set of competing indoor positioning solutions in a realistic scenario. This paper describes the proposal of the UMINHO team and some of the obtained results. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/43865 |
| ISBN: | 978-1-5090-2425-4 978-1-5090-2424-7 978-1-5090-2426-1 |
| DOI: | 10.1109/IPIN.2016.7743705 |
| ISSN: | 2471-917X |
| Versão da editora: | http://ieeexplore.ieee.org/document/7743705/ |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2016_ACM_MJN_AC_FMM.pdf | 3,57 MB | Adobe PDF | Ver/Abrir |
