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Use of negative information in positioning and tracking algorithms
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Orientador(es)
Resumo(s)
To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.
Descrição
Palavras-chave
Distance estimation Data fusion
Contexto Educativo
Citação
Editora
Springer