Detalhes do Documento

Indoor tracking from multidimensional sensor data

Autor(es): Moreira, Adriano ; Nicolau, Maria João ; Costa, António ; Meneses, Filipe

Data: 2016

Identificador Persistente: https://hdl.handle.net/1822/43865

Origem: RepositóriUM - Universidade do Minho

Assunto(s): indoor positioning; competition; tracking; WiFi fingerprinting; floor detection


Descrição

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 de Documento Comunicação em conferência
Idioma Inglês
Contribuidor(es) Universidade do Minho
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