D 2013

Pedestrian Localization in Closed Environments

ŠEVČÍK, Jonáš

Základní 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
Název: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Akronym: ERCIM-CZ)
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zastoupení ČR v European Research Consortium for Informatics and Mathematics