2013
Pedestrian Localization in Closed Environments
ŠEVČÍK, JonášZákladní údaje
Originální název
Pedestrian Localization in Closed Environments
Autoři
ŠEVČÍK, Jonáš (203 Česká republika, garant, domácí)
Vydání
Berlin, Environmental Software Systems. IFIP Advances in Information and Communication Technology, od s. 679-687, 9 s. 2013
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Kód RIV
RIV/00216224:14330/13:00069801
Organizační jednotka
Fakulta informatiky
ISBN
978-3-642-41150-2
ISSN
Klíčová slova anglicky
Indoor localization; Android; prototype; Wi-Fi tracking; step detection; dead reckoning; SMC filtering
Štítky
Změněno: 24. 4. 2014 18:39, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
This research presents techniques suitable for pedestrian localization in closed environments using mobile devices without the need of GPS technology. The objective of this research is to design and implement a pedestrian localization system, which can be used directly without investments into building a support infrastructure and acquiring expensive devices. The research problem is that GPS signal is weak or absent in closed spaces, thus cannot be used to identify location. Several technologies, which are using mobile sensors, are used as part of the experimental methodology to implement the system. These include tracking of wireless networks, dead reckoning, step detection, and barcode scanning. These technologies were combined and coded in the Java programming language to form the localization system. Beside the technologies mentioned above, crowdsourcing is used for gathering environment data needed for calculation of location estimates. Currently, the implementation has been done for the Android platform, but it is designed to be universal, and can be expanded to other mobile platforms. Preliminary results of the prototype application report a positioning error (standard deviation) of roughly 2 meters.
Návaznosti
LG13010, projekt VaV |
|