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

See the original article notice from the Annales Mathematica et Informaticae website source 

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, Volume 51 (2020), pp. 29-39. doi: 10.33039/ami.2020.07.002
@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},
     year = {2020},
     volume = {51},
     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  - Zoltán Kincses
AU  - László Schäffer
AU  - Szilveszter Pletl
TI  - Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy
JO  - Annales mathematicae et informaticae
PY  - 2020
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VL  - 51
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DO  - 10.33039/ami.2020.07.002
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%A Zoltán Kincses
%A László Schäffer
%A Szilveszter Pletl
%T Indoor localization simulation framework for optimized sensor placement to increase the position estimation accuracy
%J Annales mathematicae et informaticae
%D 2020
%P 29-39
%V 51
%U http://geodesic.mathdoc.fr/articles/10.33039/ami.2020.07.002/
%R 10.33039/ami.2020.07.002
%G en
%F AMI_2020_51_a2

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