Abstract: A method and system of localizing a mobile device having a processor and a memory. The method comprises localizing the mobile device to a first set of positions along a route traversed in the indoor area using a full set of data fusion inputs that includes at least wireless signal data, inertial sensor data, and magnetic field data based on one or more sensor devices of the mobile device, receiving an indication of a magnetic field distortion along the route being traversed, contemporaneous with the localizing to the first set of positions based on the full set of data fusion inputs, localizing the mobile device to a second set of positions along the route based on a subset of the set of data fusion inputs that does not include the magnetic data, and when the first and second sets of positions coincide in accordance with a threshold difference in distance, reverting to localizing the mobile device in accordance with the full set of data fusion inputs.

Abstract: A method and system of deploying a trained neural network-based RSS fingerprint dataset for mobile device indoor navigation and positioning. The method comprises: based on RSS parameters acquired from a plurality of mobile devices acquired at a set of positions within an indoor area, accumulating the RSS parameters as a trained neural network-based RSS fingerprint dataset in a fingerprint database of the indoor area; and when a density of points represented by the set of positions having accumulated RSS parameters exceeds a deployment threshold density, deploying the RSS fingerprint dataset within a fingerprint map for mobile device navigation of the indoor area, the fingerprint map encompassing the set of positions.

Abstract: A method and system of localizing a mobile device having a processor and a memory. The method comprises localizing the mobile device, using the processor and the memory, along a sequence of positions describing a route being traversed in an indoor facility based on a set of data fusion inputs, detecting, based on magnetic field data from a magnetic field sensor device coupled to the processor of the mobile device, in conjunction with map feature data of the indoor facility, existence of a distortive magnetic field, and using the processor, localizing the mobile device based on a subset of the set of data fusion inputs.

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 crowd-sourced training of a neural network for mobile device indoor navigation and positioning. The method, executed in a processor of a server computing device, comprises: based on RSS parameters acquired at a mobile device from a wireless signal source, localizing the mobile device to a first position within indoor area in accordance with a probabilistic confidence level; if the confidence level exceeds a threshold confidence level, adding the RSS parameters in association with the first position to a fingerprint database of the indoor area; and training a neural network implemented in the processor at least in part based on the RSS parameters as added to the fingerprint database.

Abstract: A method and system of maintaining a trained neural network for mobile device indoor navigation and positioning.

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 instantiating a lightweight re-calibration of a received signal strength (RSS) fingerprint dataset for mobile device indoor navigation. The method comprises, based on RSS parameters acquired from a plurality of mobile devices acquired at a set of positions within an indoor area, accumulating the RSS parameters in accordance with a trained neural network-based RSS fingerprint dataset in a fingerprint database of the indoor area; identifying respective positions of a subset of the set of positions having a variance that exceeds a threshold variance between observed RSS parameters and RSS parameters determined in accordance the trained neural network; and when contiguous positions of the subset are encompassed by a boundary representing a portion of the indoor area, instantiating a re-calibration of the RSS fingerprint dataset for mobile device navigation within the portion of the indoor area.

Abstract: A method and system of localizing a mobile device having a processor and a memory. The method comprises localizing the mobile device, using the processor and the memory, along a sequence of positions describing a route being traversed in an indoor facility based on a set of data fusion inputs, detecting, based on magnetic field data of a magnetic field sensor device coupled to the processor, one or more outlier magnetic parameters in accordance with at least one magnetic parameter threshold, and upon establishing existence of a magnetic distortion field based upon the one or more outlier magnetic parameters, switching to a mobile device transition localization mode.

Abstract: A method and system of displaying an operational status of a set of mobile devices deployed on multiple floors of an indoor facility in extreme ambient conditions. The method, executed in a processor of a server computing device, comprises localizing a first mobile device and at least a second mobile device to a location on a first of the multiple floors and a second of the multiple floors respectively, based at least partly on respective filtered sets of barometric ambient pressure measurements obtained at the first and at least a second mobile devices, and displaying, based on the localizing, a layout map of the multi-floor building that includes the first mobile device and the second mobile device positioned within the first and the second of the multiple floors respectively.

Abstract: A method and a device for localizing mobile devices are described. In an example, a first mobile device and at least a second mobile device of a plurality of mobile devices along a sequence of positions in an indoor route may be localized. Based on one or more sequencing criteria, the at least a second mobile device may be selected for an enhanced channel transmission associated with a received wireless signal. Further, from the at least a second mobile device, corresponding localization data based on the enhanced channel transmission may be received.

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: A method and a device for determining a device placement to optimize techniques, such as power management techniques, are described. The method, executed in a processor of a mobile device, comprises gathering data from at least one sensor associated with the mobile device. Based on the data gathered from the sensor, a device placement indicative of at least one of an orientation and a position the mobile device may be determined. Further, details pertaining to the device placement may be integrated with secondary classification data comprising at least one of historical data, device orientation data, and device motion data. Based on the integrated details, it may be inferred whether a user is engaged with the mobile device. When a user is not engaged with the mobile device, a brightness of the display is lowered in at least one stage to optimize power consumption and user experience.

Abstract: A method and a device for tracking an item using a tracking device associated with the item are described. The method, executed in a processor of the tracking device, comprises identifying a location state of the tracking device as one of an indoor location and an outdoor location relative to an indoor facility, based on at least one of satellite based data and connectivity to an access point in the indoor facility. Upon identifying the location state as the indoor location, a wireless transceiver and one or more sensor devices may be activated. The sensor devices may include at least one of a wireless signal strength sensor, a wireless signal connectivity sensor, an inertial sensor, a magnetic field sensor, a barometric sensor, and an ambient light sensor. Further, indoor localization data gathered by the sensor devices may be provided for localization.

Abstract: A method and system of displaying an operational status of a set of mobile devices deployed on multiple floors of an indoor facility in extreme ambient conditions. The method, executed in a processor of a server computing device, comprises localizing a first mobile device and at least a second mobile device to a location on a first of the multiple floors and a second of the multiple floors respectively, based at least partly on respective filtered sets of barometric ambient pressure measurements obtained at the first and at least a second mobile devices, and displaying, based on the localizing, a layout map of the multi-floor building that includes the first mobile device and the second mobile device positioned within the first and the second of the multiple floors respectively.

Abstract: A method and system for localizing a mobile device in extreme ambient conditions. The method, executed in a processor of the mobile device, comprises detecting, using a temperature sensor of the mobile device at a first sampling rate, an ambient temperature anomaly along an indoor route being traversed, determining, based on switching to a second sampling rate, that the ambient temperature anomaly persists over a sequence of positions along the indoor route, filtering a set of barometric ambient pressure measurements contemporaneously associated with the sequence of positions, the set obtained using a barometric pressure sensor of the mobile device, and localizing the mobile device based at least partly on the filtered set of barometric ambient pressure measurements.

Abstract: A method and a device for determining a device placement to optimize techniques, such as power management techniques, are described. The method, executed in a processor of a mobile device, comprises gathering data from at least one sensor associated with the mobile device. Based on the data gathered from the sensor, a device placement indicative of at least one of an orientation and a position the mobile device may be determined. Further, details pertaining to the device placement may be integrated with secondary classification data comprising at least one of historical data, device orientation data, and device motion data. Based on the integrated details, it may be inferred whether a user is engaged with the mobile device. When a user is not engaged with the mobile device, a brightness of the display is lowered in at least one stage to optimize power consumption and user experience.

Abstract: A method and a system of maintaining data connectivity between a mobile device during traversal of a pedestrian facility and a server computing device via a set of intermediary communication devices.

Abstract: A method and a system of maintaining data connectivity between a mobile device during traversal of a pedestrian facility and a server computing device via a set of intermediary communication devices.

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.