Abstract: A computerized method for building a multisensory location map, the method may include: receiving, by an interface, multiple multisensory data vectors acquired by multiple mobile devices at multiple locations and location estimates indicative of the multiple locations; wherein at least a majority of the multiple locations are located within an area in which a granularity of global positioning system (GPS) based navigation is below an allowable threshold; wherein the location estimates are at least partially generated by internal navigation systems of the multiple mobile devices; and calculating, by a map calculator, in response to the multiple multisensory data vectors and the location estimates, a location fingerprinting map that comprises multiple grid points, wherein each grid point comprises a multisensory grid point fingerprint and grid point location information.

Abstract: A method for determining a mobility state of a mobile device is provided. A first estimated location of the mobile device is determined based on a first predictor set by generating a first location probability distribution associated with the first predictor set. A second estimated location of the mobile device is determined based on a second predictor set by generating a second location probability distribution associated with the second predictor set. A third estimated location of the mobile device is determined based on the first and second predictor sets and based on a combined first location probability distribution and second location probability distribution. A consistency analysis of the calculated first, second and third estimated locations is performed for the first and second predictor sets to determine the mobility state of the mobile device.