Abstract: A method and a device for criterion-based calibration for localization of mobile devices are described. In an example, sensorial data for a zone in the indoor space is obtained. The zone can have a set of factors influencing a behavior of the sensorial data therein. A component of instantaneous localization in the zone is determined based on the sensorial data by simulating variation of the component. The estimation is evaluated based on a ground truth value of the component and, on the basis thereof, a localization criterion is associated with the zone. The localization criterion is indicative of a selectivity in use of the sensorial data for localizing the mobile device in the zone.

Abstract: A method and a device for performing targeted calibration are described. In an example, instructions to acquire spatial data in a predefined region in an indoor space is are received, the indoor space divided into a grid of a plurality of polygonal tiles in a size-wise hierarchy and tessellated at each level of the size-wise hierarchy, wherein the instructions comprise information regarding a group of polygonal tiles from amongst the plurality of polygonal tiles in the predefined region to gather the spatial data for, the group of polygonal tiles selected at a hierarchical level in the size-wise hierarchy, and wherein the spatial data is to be gathered for the group of polygonal tiles along a substantially continuous path connecting the group of polygonal tiles to be traversed for gathering the spatial data. In response to the instructions, acquisition of the spatial data along the substantially continuous path may be commenced.

Abstract: A method and a device for performing targeted calibration are described. In an example, a first set of spatial data acquired within a predefined region in an indoor space is received. The indoor space is represented as a grid of tessellated polygonal tiles arranged in a hierarchical structure of size-wise arranged polygonal tiles. a preliminary discretized spatial map of the calibrated spatial data in the predefined region is generated by linking the first set of spatial data and the corresponding polygonal tiles for which the spatial data has been acquired. From the preliminary discretized spatial map, a group of polygonal tiles are identified which have density of calibrated spatial data less than a threshold density. For the identified polygonal tiles, a second set of spatial data may be acquired. Based on the preliminary discretized spatial map and the second set of spatial data, a fingerprint map is generated for the indoor space.

Abstract: A method and a device for performing targeted calibration are described. In an example, instructions to acquire spatial data in a predefined region in an indoor space is are received, the indoor space divided into a grid of a plurality of polygonal tiles in a size-wise hierarchy and tessellated at each level of the size-wise hierarchy, wherein the instructions comprise information regarding a group of polygonal tiles from amongst the plurality of polygonal tiles in the predefined region to gather the spatial data for, the group of polygonal tiles selected at a hierarchical level in the size-wise hierarchy, and wherein the spatial data is to be gathered for the group of polygonal tiles along a substantially continuous path connecting the group of polygonal tiles to be traversed for gathering the spatial data. In response to the instructions, acquisition of the spatial data along the substantially continuous path may be commenced.

Abstract: A method and system for deploying a trusted-global positioning system (trusted-GPS) positioning map. The method comprises receiving, at a memory of the server computing device, at least a first set of fingerprint data and at least a first set of GPS position data for a sequence of positions traversed within an indoor area by at least a first mobile device, generating, using the processor, a distribution of positioning data points of the indoor area for which a correlation between the at least a first set of fingerprint data and the at least a first set of GPS position data for respective ones of the sequence of positions exceeds a threshold correlation value, and when the distribution exceeds at least one of a predetermined and a dynamically updated threshold density of positioning data points, deploying the distribution as the trusted-GPS positioning map of the indoor area.

Abstract: A method and system for deploying a trusted-global positioning system (trusted-GPS) positioning map. The method comprises receiving, at a memory of the server computing device, at least a first set of fingerprint data and at least a first set of GPS position data for a sequence of positions traversed within an indoor area by at least a first mobile device, generating, using the processor, a distribution of positioning data points of the indoor area for which a correlation between the at least a first set of fingerprint data and the at least a first set of GPS position data for respective ones of the sequence of positions exceeds a threshold correlation value, and when the distribution exceeds at least one of a predetermined and a dynamically updated threshold density of positioning data points, deploying the distribution as the trusted-GPS positioning map of the indoor area.

Abstract: A method and system of updating a map feature. The method, executed in a processor of a server computing device, comprises receiving, from a mobile device, a request for update of a map feature, generating a request for localizing the mobile device, validating the request for update based on a threshold confidence level associated with the localizing, and upon the validating, updating the map feature in a memory of the server computing device.

Abstract: Methods and systems of broadcasting crowd-sourced localization data from a mobile device are described. The method, executed in the processor of the mobile device, comprises localizing the mobile device by determining an estimated position of the mobile device based on fingerprint data; broadcasting, at a first broadcast power level, a localization data packet that includes the estimated position to one or more peer mobile devices; and continuing the broadcasting at one of a lower broadcast power level than the first broadcast power level and a higher broadcast power level than the first broadcast power level based on a degree of accuracy of the estimated position.

Abstract: A method and system for automatically updating a self-learning data repository. The method is executed in a processor of a server computing device to store a fingerprint map of an area in the self-learning data repository, the fingerprint map having positioning fingerprint data that includes magnetic spatial derivative fingerprint data, receive, at the self-learning data repository, at least one of mobile device signal data and mobile device sensor data correlated with a sequence of positions along a trajectory describing a movement of a mobile device relative to the area, the sensor data including mobile device magnetic spatial derivative data, and automatically update, using the processor, the self-learning data repository by adding the at least one of mobile device signal data and mobile device sensor data to the positioning fingerprint data.

Abstract: A method and system for localizing a mobile device having a processor and a memory. The method comprises, using the processor, localizing the mobile device during navigation of a sequence of positions along an indoor area based on a data fusion of fingerprint data, detecting, using the processor, a boundary of a trusted-global positioning system (trusted-GPS) positioning region within the indoor area, and upon navigating to the boundary, localizing the mobile device based on GPS position data acquired at the memory of the mobile device.

Abstract: A method and system of localizing a mobile device having a processor and a memory. The method comprises localizing the mobile device along a sequence of positions describing a route being traversed in an indoor facility based on a set of data fusion inputs, monitoring a processing time associated with the localizing and when the processing time exceeds a time threshold, localizing the mobile device based on a subset of the set of data fusion inputs.

Abstract: A method and system for automatically updating a self-learning data repository. The method is executed in a processor of a server computing device to store a fingerprint map of an area in the self-learning data repository, the fingerprint map having positioning fingerprint data that includes magnetic spatial derivative fingerprint data, receive, at the self-learning data repository, at least one of mobile device signal data and mobile device sensor data correlated with a sequence of positions along a trajectory describing a movement of a mobile device relative to the area, the sensor data including mobile device magnetic spatial derivative data, and automatically update, using the processor, the self-learning data repository by adding the at least one of mobile device signal data and mobile device sensor data to the positioning fingerprint data.

Abstract: A method and system for detecting a transition in positioning state of a mobile device relative to an indoor facility. The method, executed in a processor of the mobile device, comprises monitoring, based at least in part on global positioning system (GPS) data, for a positioning state of the mobile device as one of an indoor and an outside location relative to an indoor facility, determining a set of probabilistic weightings for respective ones of ambient data and the GPS data, the ambient data including one or more of received signal strength data, signal connectivity data, magnetic data, ambient lighting data and barometric data, and detecting a transition in positioning state of the mobile device from one of the indoor and the outside locations to another of the indoor and the outside locations when a weighted sum value based at least in part on the set of probabilistic weightings is one of above and below a predetermined state transition value.

Abstract: A method and system for automatically updating a self-learning data repository. The method is executed in a processor of a server computing device to store a fingerprint map of an area in the self-learning data repository, the fingerprint map having positioning fingerprint data that includes magnetic spatial derivative fingerprint data, receive, at the self-learning data repository, at least one of mobile device signal data and mobile device sensor data correlated with a sequence of positions along a trajectory describing a movement of a mobile device relative to the area, the sensor data including mobile device magnetic spatial derivative data, and automatically update, using the processor, the self-learning data repository by adding the at least one of mobile device signal data and mobile device sensor data to the positioning fingerprint data.

Abstract: Methods and Systems of adjusting a radio frequency (RF) broadcast signal power level in a crowd-sourced mobile device localization system in a pedestrian area are described. In an example, a first mobile device and a second mobile device may be localized to establish a first estimated position a second estimated position, respectively. The localizing may be based on fingerprint data of the pedestrian area, wherein a localization data packet including the first estimated position broadcasted by the first mobile device at a first broadcast power level and another localization data packet including the second estimated position broadcasted by the second broadcast device at a second broadcast power level may be received.

Abstract: A method and system of adjusting a radio frequency (RF) broadcast signal power level in a crowd-sourced mobile device localization system in a pedestrian area.

Abstract: A method and system for localizing a mobile device includes deriving and using a spatial derivative magnetic signature or fingerprint. The method, executed in a processor of the mobile device, comprises monitoring mobile device magnetic data along a route being traversed, deriving, from the mobile device magnetic data, a mobile device spatial derivative magnetic fingerprint along the route, accessing a repository of spatial derivative magnetic fingerprint data having associated respective positions along the route, and localizing the mobile device based at least partly on matching the mobile device spatial derivative magnetic fingerprint with the spatial derivative magnetic fingerprint data of the repository.

Abstract: A method and system of broadcasting crowd-sourced localization data from a mobile device within a pedestrian area. The method, executed in the processor of the mobile device, comprises localizing the mobile device by determining an estimated position of the mobile device within the pedestrian area based on accessing fingerprint data of the pedestrian area, broadcasting, at a first broadcast power level, a localization data packet that includes data of the estimated position to one or more peer mobile devices within the pedestrian area, determining a confidence level indicative of a degree of accuracy for the estimated position, and continuing the broadcasting at one of a lower and a higher broadcast power level than the first broadcast power level when it is determined that the confidence level is one of above and below a threshold confidence level.

Abstract: A method and system for detecting a transition in positioning state of a mobile device relative to an indoor facility. The method, executed in a processor of the mobile device, comprises monitoring, based at least in part on global positioning system (GPS) data, for a positioning state of the mobile device as one of an indoor and an outside location relative to an indoor facility, determining a set of probabilistic weightings for respective ones of ambient data and the GPS data, the ambient data including one or more of received signal strength data, signal connectivity data, magnetic data, ambient lighting data and barometric data, and detecting a transition in positioning state of the mobile device from one of the indoor and the outside locations to another of the indoor and the outside locations when a weighted sum value based at least in part on the set of probabilistic weightings is one of above and below a predetermined state transition value.

Abstract: A method and system for localizing a mobile device includes deriving and using a spatial derivative magnetic signature or fingerprint. The method, executed in a processor of the mobile device, comprises monitoring mobile device magnetic data along a route being traversed, deriving, from the mobile device magnetic data, a mobile device spatial derivative magnetic fingerprint along the route, accessing a repository of spatial derivative magnetic fingerprint data having associated respective positions along the route, and localizing the mobile device based at least partly on matching the mobile device spatial derivative magnetic fingerprint with the spatial derivative magnetic fingerprint data of the repository.