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




No 1

Publication authors

Divisions of PAS

Nauki Techniczne


Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation




ISSN 0860-8229


Fischer C. (2010), Location and Navigation Support for Emergency Responders: A Survey, Pervasive Computing, 38, ; Hersh M. (2008), Assistive Technology for Visually Impaired and Blind People, ; (2008), Disability and Independence. ; Arikawa M. (2007), Navitime: supporting pedestrian navigation in the real world, Pervasive Computing, 21, ; Retscher G. (2004), NAVIO-a navigation and guidance service for pedestrians, Journal of Global Positioning Systems, 3, 1-2, 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, ; 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=''></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=''></a> ; Arulampalam M. (2002), A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Trans. Signal Processing, 50, 174, ; 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, ; 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.