Details

Title

Fusion of Data from Inertial Sensors, Raster Maps and GPS for Estimation of Pedestrian Geographic Location in Urban Terrain

Journal title

Metrology and Measurement Systems

Yearbook

2011

Numer

No 1

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2011

Identifier

ISSN 0860-8229

References

Fischer C. (2010), Location and Navigation Support for Emergency Responders: A Survey, Pervasive Computing, 38, doi.org/10.1109/MPRV.2009.91 ; Hersh M. (2008), Assistive Technology for Visually Impaired and Blind People, doi.org/10.1007/978-1-84628-867-8 ; (2008), Disability and Independence. ; Arikawa M. (2007), Navitime: supporting pedestrian navigation in the real world, Pervasive Computing, 21, doi.org/10.1109/MPRV.2007.61 ; Retscher G. (2004), NAVIO-a navigation and guidance service for pedestrians, Journal of Global Positioning Systems, 3, 1-2, 208, doi.org/10.5081/jgps.3.1.208 ; Mezentsev O. (2005), Pedestrian dead reckoning-a solution to navigation in GPS signal degraded areas, Geomatica, 59, 2, 175. ; Fang L. (2005), Design of a Wireless Assisted Pedestrian Dead Reckoning System-The NavMote Experience, IEEE Trans. on Instrumentation and Measurement, 54, 6, 2342, doi.org/10.1109/TIM.2005.858557 ; Kourogi M. (2006), Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/RFID/Self-contained Sensor System, null, 1310. ; The Smith-Kettlewell Eye Research Institute. (2010 November) <a target="_blank" href='http://www.ski.org'>www.ski.org</a> ; Farell J. (2008), Aided Navigation. ; Baranski P. (2010), An electronic module implementing dead-reckoning algorithm for improving geographic location accuracy from GPS readouts in urban terrain, null. ; The website of Analog Devices. <a target="_blank" href='http://www.analog.com/static/imported-files/data_sheets/ADIS16355.pdf'>www.analog.com/static/imported-files/data_sheets/ADIS16355.pdf</a> ; Arulampalam M. (2002), A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Trans. Signal Processing, 50, 174, doi.org/10.1109/78.978374 ; Ceranka S. (2003), Application of Particle Filtering in Navigation System for the Blind, null. ; Brown R. (1983), Introduction to Random Signal Analysis And Kalman Filtering. ; Cappe O. (2007), An overview of existing methods and recent advances in sequential Monte Carlo, Proceeding of the IEEE, 95, 899, doi.org/10.1109/JPROC.2007.893250 ; Mandel J. (2007), A Brief Tutorial on the Ensemble Kalman Filter. ; Mackenzie D. (2003), Ensemble Kalman Filters Bring Weather Models Up to Date, SIAM News, 36, 8, 1.

DOI

10.2478/v10178-011-0014-3

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