Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/46107
Título: | The smartphone-based offline indoor location competition at IPIN 2016: analysis and future work |
Autor(es): | Torres-Sospedra, Joaquín Jiménez, Antonio R. Knauth, Stefan Moreira, Adriano Beer, Yair Fetzer, Toni Viet-Cuong Ta Nicolau, Maria João Costa, António Meneses, Filipe |
Palavras-chave: | Indoor localization technology Indoor navigation Smartphone applications Evaluation and benchmarking |
Data: | 10-Mar-2017 |
Editora: | MDPI |
Revista: | Sensors |
Citação: | Torres-Sospedra, Joaquín, et al. "The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work." Sensors 17.3 (2017): 557 |
Resumo(s): | This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors' estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/46107 |
DOI: | 10.3390/s17030557 |
ISSN: | 1424-8220 |
Versão da editora: | http://www.mdpi.com/1424-8220/17/3/557/htm |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2017_JTS_ACM.pdf | 8,51 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons