METHOD AND ARRANGEMENT FOR LOCATING A MOBLE DEVICE
First Claim
1. A method for locating an electronic mobile device capable of wireless communication, the method comprisingobtaining a probability map structure for the area of interest, said probability map structure associating environment data values, preferably including cellular network based data, with location data,obtaining a number of probabilistic temporospatial motion models for different types of motion, said models at least partly defining transition probabilities between location estimates relative to time,obtaining at least environment data captured or determined by the mobile device at a plurality of sequential time instances, anddetermining the most probable location estimate of the mobile device based on combining probability data from both the probability map structure and said motion models, wherein the at least environment data is best fitted in the motion models and probability map structure according to predefined criteria.
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Abstract
A method for locating an electronic mobile device capable of wireless communication, the method including obtaining a probability map structure for the area of interest, the probability map structure associating environment data values, preferably including cellular network based data, with location data, obtaining a number of probabilistic temporospatial motion models for different types of motion, the models at least partly defining transition probabilities between location estimates relative to time, obtaining at least environment data captured or determined by the mobile device at a plurality of sequential time instances, and determining the most probable location estimate of the mobile device based on combining probability data from both the probability map structure and the motion models, wherein the at least environment data is best fitted in the motion models and probability map structure according to predefined criteria. Related two arrangements and a computer program are presented.
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Citations
33 Claims
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1. A method for locating an electronic mobile device capable of wireless communication, the method comprising
obtaining a probability map structure for the area of interest, said probability map structure associating environment data values, preferably including cellular network based data, with location data, obtaining a number of probabilistic temporospatial motion models for different types of motion, said models at least partly defining transition probabilities between location estimates relative to time, obtaining at least environment data captured or determined by the mobile device at a plurality of sequential time instances, and determining the most probable location estimate of the mobile device based on combining probability data from both the probability map structure and said motion models, wherein the at least environment data is best fitted in the motion models and probability map structure according to predefined criteria.
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17. An arrangement for locating a mobile device operable in a wireless network, comprising
a data repository comprising a probability map structure for the area of interest, said probability map structure associating environment data values, preferably including cellular network based data, with location data, and further comprising a number of probabilistic temporospatial motion models for multiple different types of motion, said models at least partly defining transition probabilities between location estimates relative to time, a communication interface for obtaining at least environment data perceived at the mobile device at a plurality of sequential time instances, and a positioning entity configured to determine the most probable location estimate of the mobile device based on combining probability data from both the probability map structure and said motion models, wherein the at least environment data is best fitted in the motion models and probability map structure according to predefined criteria.
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33. An arrangement, preferably comprising at least one server, for use in positioning, comprising
a mapping entity configured to determine for the area of interest, a probability map structure or a source data structure therefor, said probability map or related source data structure associating environment data values, preferably including cellular network based data, with location data, through obtaining environment data, preferably including cellular network based data, and temporally substantially corresponding, location-indicating reference data, preferably including positioning data, most preferably satellite positioning data, and linking the environment data with the location data provided by the reference data, said environment and related reference data being collected by a number of mobile devices; - and
a number of probabilistic temporospatial motion models for multiple different types of motion, said models at least partly defining transition probabilities between location estimates relative to time, and a communication interface configured to signal at least part of said probability map structure and motion models to an electronic device for positioning.
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Specification