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 calibrated positioning map of an area. The method, executed in a processor of a server computing device, comprises deploying a crowd sourced magnetic fingerprint map for mobile device localization during traversal of the indoor area, accumulating received signal strength (RSS) measurements in forming a RSS fingerprint map using crowd sourced RSS measurements during the deploying, and switching, responsive to identifying desirability of a change in the mobile device localization within the indoor area, from the crowd sourced magnetic fingerprint map to the RSS fingerprint map as basis for localizing the mobile device.

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: Examples for localization using tessellated grids are described. In an example, a plurality of physical entities can be identified in an indoor space and each physical entity can be georeferenced to a coordinate system. The indoor space can be divided into a grid of polygonal tiles abutting adjacent polygonal tiles, and arranged in a hierarchical structure with the tiles in one level of the hierarchical structure being substantially representable by polygonal tiles in other levels of the hierarchical structure. The grid is then spatially indexed by associating each physical entity with a polygonal tile from amongst the polygonal tiles in each hierarchical level, thereby correlating a georeference of the physical entity with the polygonal tile. Based on the spatial indexing, a grid map for the indoor space can be generated for localizing mobile devices in the indoor space.

Abstract: A method and a device for localization using grid-based localization of map constraints are described. In an example, an indoor space is divided into a grid of tessellated polygonal tiles in a hierarchical structure. The grid is correlated with physical entities in the indoor space by associating each physical entity with a polygonal tile. Further, an absolute probability value indicative of presence of a device therein is associated with each polygonal tile. As part of associating, the absolute probability value is allocated to each polygonal tile in each hierarchical level to create a probability map for the indoor space. The probability map is used to generate a grid map for the indoor space and the grid map is usable to determine location of the device in 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 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 zone-based localization of mobile devices are described. In an example, a zone from amongst a plurality of zones of an indoor space in which a mobile device is present is identified. The identification of the can be based on instantaneous localization information obtained from the mobile device. Further, a localization criterion to be employed for localizing the mobile device is determined based on the identified zone. The localization criterion may be indicative of a selectivity in use of sensor data for localizing the mobile device. Subsequently, the mobile device is localized in the indoor space, based on the localization criterion.

Abstract: A method and system of magnetic parameter based mobile device localization. The method comprises obtaining a predetermined number of magnetic parameter measurements corresponding to a plurality of path segments in an indoor path traversed by a mobile device. Based on accessing a reference database associated with the indoor path, a set of reference segments having a magnetic parameter measurement matching a first magnetic parameter measurement may be identified. In accordance with the identified set of reference segments, a set of alternative trajectories of the mobile device are identified. From the set of alternative trajectories, a current alternative trajectory of the mobile device with a maximum match to the first magnetic parameter measurement may be determined.

Abstract: A method and system of magnetic parameter based mobile device localization. The method comprises obtaining a predetermined number of magnetic parameter measurements corresponding to a plurality of path segments in an indoor path traversed by a mobile device. Based on accessing a reference database associated with the indoor path, a set of reference segments having a magnetic parameter measurement matching a first magnetic parameter measurement may be identified. In accordance with the identified set of reference segments, a set of alternative trajectories of the mobile device are identified. From the set of alternative trajectories, a current alternative trajectory of the mobile device with a maximum match to the first magnetic parameter measurement may be determined.

Abstract: A method and system of infrastructure based mobile device navigation of an indoor area. The method, executed in a processor of a server computing device, comprises classifying, responsive to accessing an infrastructure map of the indoor area, the indoor area into a first and an at least a second infrastructure regions; localizing a mobile device within the first infrastructure region in accordance with a first positioning algorithm; and switching, responsive to identifying the mobile device within the at least a second infrastructure region, from the first positioning algorithm to an at least a second positioning algorithm as basis for localizing the mobile device.

Abstract: A method and system for deploying a calibrated positioning map of an area. The method, executed in a processor of a server computing device, comprises deploying a crowd sourced magnetic fingerprint map for mobile device localization during traversal of the indoor area, accumulating received signal strength (RSS) measurements in forming a RSS fingerprint map using crowd sourced RSS measurements during the deploying, and switching, responsive to identifying desirability of a change in the mobile device localization within the indoor area, from the crowd sourced magnetic fingerprint map to the RSS fingerprint map as basis for localizing the mobile device.

Abstract: A method and system of infrastructure re-purposed magnetic signatures for mobile device indoor navigation and positioning. The method comprises determining a common spatial region in accordance with a first spatial region partially superimposed upon an at least a second spatial region, the first and at least a second spatial regions associated with a first and an at least a second magnetic signatures respectively; and generating, based at least in part on the first and at least a second magnetic signatures, a re-purposed magnetic signature associated with the common spatial region.

Abstract: A method and system of infrastructure re-purposed RSS signatures for mobile device indoor navigation and positioning. The method comprises determining a common spatial region in accordance with a first spatial region partially superimposed upon an at least a second spatial region, the first and at least a second spatial regions associated with a first and an at least a second wireless communication received signal strength (RSS) signatures respectively; and generating, based at least in part on the first and at least a second RSS signatures, a re-purposed RSS signature associated with the common spatial region.

Abstract: A method and system of magnetic parameter based mobile device localization. The method comprises receiving, from a mobile device under traversal along an indoor path within an indoor area, a series of magnetic parameter measurements at each of a plurality of path segments; identifying, based on accessing reference magnetic data associated with the indoor path, an initial match for respective ones of a subset of path segments in accordance with the magnetic parameter measurements; initializing a set of alternative trajectories of the mobile device in accordance with the initial match; and determining, from the set of alternative trajectories, a current trajectory of the mobile device based at least in part on a best fit with a number of path segments associated with set of alternative trajectories.

Abstract: A method and system of time-offset based synchronization for mobile device indoor navigation and positioning. The method, executed in a processor of a server computing device, comprises receiving, at a set of fixed nodes, a wireless signal transmission from a moving node; deriving a time difference of flight (TDOF) offset amongst the set of fixed nodes and the moving node; and localizing the moving node at a given time based at least in part on the TDOF offset.

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 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 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.