A Hidden Markov Model for Urban Navigation Based on Fingerprinting and Pedestrian Dead Reckoning

Herausgegebener Band


Details zur Publikation

Herausgeber: Thielecke J, Gutiérrez Boronat J, Seitz J, Meyer S, Jahn J, Vaupel T
Verlag: IEEE Xplore
Verlagsort: online
Jahr der Veröffentlichung: 2010
Titel der Reihe: A Hidden Markov Model for Urban Navigation Based on Fingerprinting and Pedestrian Dead Reckoning
ISBN: 9780982443811


Abstract


An algorithm for pedestrian navigation in indoor and urban canyon environments is presented. It considers platforms with low processing power and low-cost sensors. A combination of Wi-Fi positioning and dead reckoning, based on a Hidden Markov Model, is used. The positions of the Wi-Fi fingerprints in the database are used as hidden states. Dead reckoning is taken for state transition and a database correlation of the Wi-Fi signal strength measurements is performed in the measurement update. The dead reckoning consists of an accelerometer driven step length estimation and a magnetic field based heading calculation. Simulations and tests demonstrate that in this way ambiguities common in Wi-Fi positioning can be solved and outages can be bridged. Therefore, higher accuracy and robustness can be achieved.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Seitz, Jochen
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Thielecke, Jörn Prof. Dr.
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


Einrichtungen weiterer Autorinnen und Autoren

Fraunhofer-Institut für Integrierte Schaltungen (IIS)


Zitierweisen

APA:
Thielecke, J., Gutiérrez Boronat, J., Seitz, J., Meyer, S., Jahn, J., & Vaupel, T. (Eds.) (2010). A Hidden Markov Model for Urban Navigation Based on Fingerprinting and Pedestrian Dead Reckoning. online: IEEE Xplore.

MLA:
Thielecke, Jörn, et al, eds. A Hidden Markov Model for Urban Navigation Based on Fingerprinting and Pedestrian Dead Reckoning. online: IEEE Xplore, 2010.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 00:54