Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy
Annales mathematicae et informaticae, Tome 51 (2020), pp. 29-39.

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@article{AMI_2020_51_a2,
     author = {\'Ad\'am Kal\'o and Zolt\'an Kincses and L\'aszl\'o Sch\"affer and Szilveszter Pletl},
     title = {Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy},
     journal = {Annales mathematicae et informaticae},
     pages = {29--39},
     publisher = {mathdoc},
     volume = {51},
     year = {2020},
     doi = {10.33039/ami.2020.07.002},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.33039/ami.2020.07.002/}
}
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AU  - László Schäffer
AU  - Szilveszter Pletl
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Ádám Kaló; Zoltán Kincses; László Schäffer; Szilveszter Pletl. Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy. Annales mathematicae et informaticae, Tome 51 (2020), pp. 29-39. doi : 10.33039/ami.2020.07.002. http://geodesic.mathdoc.fr/articles/10.33039/ami.2020.07.002/

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