Abstract:
In one embodiment, techniques are provided to establish and use semantic associations between location profiles and ambient profiles. One or more location profiles are selected from a location database. A first plurality of ambient profiles is selected for a first area surrounding one or more geographic locations of the location profiles. One or more patterns are extracted from the first plurality of ambient profiles and are used to generate associations between location profiles and ambient profiles in an association database which semantically associates location profiles with ambient profiles independent of geographic location. The associations may be used, among other things, to service requests from mobile devices and/or update ambient profiles or location profiles.
Abstract:
In one embodiment, scanning data is received for wireless access points whose wireless signals were observed by the one or more scanning devices in a target area. For each group of scanning data that shares a common identifier of a Wi-Fi access point, a centroid of the scanning data is determined, a set of scanning data of the group that exceeds a threshold distance from the centroid is designated as having potential error, and a location of the Wi-Fi access point is calculated. The calculated location of the Wi-Fi access point for each group of scanning data is stored in a reference database. Upon receiving a request for a location of a mobile device, an identity of one or more Wi-Fi access points in range of the mobile device is determined, and the location of the mobile device is computed using calculated locations from the reference database.
Abstract:
In one example embodiment, a Wi-Fi based location determination technique both determines one or more locations of a mobile device, and calculates a confidence score for each determined location. A request is received at a certified location service executing on a server for one or more locations of the mobile device and a data package. The data package may include an indication of a plurality of beacons observed by the mobile device. The certified location service determines one or more locations of the mobile device based on a calculated location of at least some of the plurality of beacons. The certified location service also determines a confidence score for each beacon used in determining each location. An overall confidence score for each determined location may be calculated based on a combination of the confidence scores for each of the beacons used in the determination of the location.
Abstract:
Methods of and systems for measuring beacon stability of wireless access points are provided. A method of determining a measure of likelihood that a designated wireless device exhibits at least one pathological characteristic includes determining a set of reference points associated with a designated wireless device, and retrieving attributes of the reference points, attributes associated with other wireless devices related to the designated wireless device, and/or statistical information. The statistical information includes a temporal distribution of detection of signals of reference points, a spatial distribution of the reference points, and/or a cardinality of the set or a subset of the reference points. The method further includes determining a measure of likelihood that the designated wireless device exhibits at least one pathological characteristic based on attributes of the reference points, attributes associated with the reception of signals, and/or the statistical information.
Abstract:
In one embodiment, Wi-Fi access point data is cached on a mobile client device in response to distances to WPS tile boundaries. The mobile client device identifies one or more Wi-Fi access points in range based on signals received by a Wi-Fi radio, and estimates its location utilizing the identified one or more Wi-Fi access points and Wi-Fi access point data of one or more Wi-Fi positioning system (WPS) tiles in a WPS tile store on the mobile client device. Based on the estimated location, the mobile client device determines it is within a threshold distance of a boundary of the one or more WPS tiles present in the WPS tile store and requests one or more new WPS tiles from a reference database of a remote server. Upon receipt, the one or more new WPS tiles are cached in the WPS tile store on the mobile client device.
Abstract:
A method of and system for estimating at least one of a human development level and a human activity level. A method of estimating at least one of a human development level and a human activity level includes estimating positions of radio broadcast beacons. The positions of the radio broadcast beacons are stored in an electronically readable catalog. Each of the positions is grouped into sets of positions. Each set of positions includes positions of one or more geographically-related radio broadcast beacons. For each of the sets, at least one of a human development level and a human activity level is estimated for an area encompassing the positions of the set.
Abstract:
In one embodiment, a system determines a designated wireless device lacks a fixed geographic location, and uses the determination that the designated wireless device lacks a fixed geographic location to improve location estimates. The system determines one or more neighboring wireless devices have relationships with the designated wireless device, wherein a relationship is established when wireless signals from a neighboring wireless device and the designated wireless device are detected by a same receiver. A measure of likelihood is calculated that the designated wireless device lacks a fixed geographic location based at least in part on a number of the relationships or a duration of the relationships. Based on the measure of likelihood, the designated wireless device is excluded from being used in the wireless positioning system as a beacon for estimating the location of a client device.
Abstract:
In one embodiment, characteristics of signals received from Wi-Fi access points during a traversal of a number of drivable streets within a geographic area having a radius of one or more miles are determined, the characteristics of a given signal including a unique identifier of a Wi-Fi access point that transmitted the signal, a location where the signal was observed, and an observed signal strength at the location where the signal was observed. Using the characteristics, a reference database is built including records descriptive of Wi-Fi access points in the geographic area. To determine a current location of a mobile device, an observed signal strength of one or more Wi-Fi access points observed by the mobile device from the current location is determined and a current location of the mobile device is computed using at least the observed signal strength of the one or more Wi-Fi access points observed by the mobile device in comparison to information in the reference database.
Abstract:
In one embodiment, a system determines a designated wireless device lacks a fixed geographic location, and uses the determination that the designated wireless device lacks a fixed geographic location to improve location estimates. The system determines one or more neighboring wireless devices have relationships with the designated wireless device, wherein a relationship is established when wireless signals from a neighboring wireless device and the designated wireless device are detected by a same receiver. A measure of likelihood is calculated that the designated wireless device lacks a fixed geographic location based at least in part on a number of the relationships or a duration of the relationships. Based on the measure of likelihood, the designated wireless device is excluded from being used in the wireless positioning system as a beacon for estimating the location of a client device.
Abstract:
In one embodiment, when it is determined that one or more Wi-Fi positioning system (WPS) tiles that are necessary to estimate a location of a mobile client device are not present in a WPS tile store on the mobile client device, or are present in the WPS tile store on the mobile client device but out of date, one or more new WPS tiles are requested from a remote server. Each WPS tile is a set of Wi-Fi access point data for Wi-Fi access points within a bounded geographical region. The one or more new WPS tiles are received from the remote server, and are cached in the WPS tile store on the mobile client device. Subsequent to the caching, one or more further locations of the mobile client device are estimated autonomously from the remote server, utilizing Wi-Fi access point data in the WPS tile store.