• search hit 16 of 26
Back to Result List

Indoor localization using step and turn detection together with floor map information

  • In this work we present a method to estimate an indoor position with the help of smartphone sensors and without any knowledge of absolute positioning systems like Wi-Fi signals. Our system uses particle filtering to solve the recursive state estimation problem of finding the position of a pedestrian. We show how to integrate the information of the previous state into the weight update step and how the observation data can help within the state transition model. High positional accuracy can be achieved by only knowing that the pedestrian makes a foot step or changes her direction together with floor map information.
Metadaten
Author:Lukas Köpping, Frank Ebner, Marcin Grzegorzek, Frank Deinzer
URN:urn:nbn:de:bvb:863-opus-976
Parent Title (German):FHWS science journal
Document Type:Article
Language:English
Date of Publication (online):2015/01/07
Year of publication:2014
Publishing Institution:Hochschule für Angewandte Wissenschaften Würzburg-Schweinfurt
Creating Corporation:Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt
Release Date:2015/01/07
Tag:particle filter; step detection; turn detection
Volume:2 (2014)
Issue:1
First Page:40
Last Page:49
Institutes and faculty:Fakultäten / Fakultät Informatik und Wirtschaftsinformatik
Regensburger Klassifikation:Informatik
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.