Path Estimation from Smartphone Sensors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014714" target="_blank" >RIV/62690094:18450/18:50014714 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-76081-0_37" target="_blank" >http://dx.doi.org/10.1007/978-3-319-76081-0_37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-76081-0_37" target="_blank" >10.1007/978-3-319-76081-0_37</a>

Result language
angličtina
Original language name
Path Estimation from Smartphone Sensors
Original language description
Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings. Global Navigation Satellite System (GNSS) was commonly used in outdoor environment, but if we are in a building GNSSs are unusable. This is mainly because of multipath propagation which can cause huge localization errors. Therefore, many research teams have started to develop different systems for location estimation in indoor environment. In this work, we proposed position estimation system based on inertial sensors in smartphone with average accuracy below 0.6 m.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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