TY - JOUR N2 - An electronic system and an algorithm for estimating pedestrian geographic location in urban terrain is reported in the paper. Different sources of kinematic and positioning data are acquired (i.e.: accelerometer, gyroscope, GPS receiver, raster maps of terrain) and jointly processed by a Monte-Carlo simulation algorithm based on the particle filtering scheme. These data are processed and fused to estimate the most probable geographical location of the user. A prototype system was designed, built and tested with a view to aiding blind pedestrians. It was shown in the conducted field trials that the method yields superior results to sole GPS readouts. Moreover, the estimated location of the user can be effectively sustained when GPS fixes are not available (e.g. tunnels). L1 - http://www.czasopisma.pan.pl/Content/89756/PDF/Journal10178-VolumeXVIII%20Issue1_14%20paper.pdf.pdf L2 - http://www.czasopisma.pan.pl/Content/89756 PY - 2011 IS - No 1 EP - 158 DO - 10.2478/v10178-011-0014-3 KW - pedestrian navigation KW - data fusion KW - GPS KW - digital maps KW - particle filtering KW - electronic travel aids A1 - Barański, Przemysław A1 - Polańczyk, Maciej A1 - Strumillo, Pawel PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation DA - 2011 T1 - Fusion of Data from Inertial Sensors, Raster Maps and GPS for Estimation of Pedestrian Geographic Location in Urban Terrain SP - 145 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/89756 T2 - Metrology and Measurement Systems ER -