Abstract:
In one example embodiment, a certified location service enables a mobile device to access a location-based service when a determined location meets a location requirement and an overall confidence score for the determined location exceeds a confidence threshold. A data package is received including identifiers of beacons observed by the mobile device, and a location of the mobile device is determined based on a calculated location of one or more of the beacons. An overall confidence score for the determined location is calculated based on one or more individual confidence scores for the one or more beacons used in determining the location or composite confidence scores for types of the one or more beacons. The determined location and the overall confidence score are provided to one or more provider servers that allow the mobile device to access a location-based service based thereon.
Abstract:
In one embodiment, characteristics of signals of a plurality of Wi-Fi access points within a target area are determined at least in part from observing the signals during a traversal of a programmatic route through the target area by a scanning device. A location is calculated for each of the plurality of Wi-Fi access points based on the characteristics of the signals of the Wi-Fi access point, and stored in records of a reference database. A request from an application or service executing on a mobile device is received for a current location of the mobile device. Positioning software obtains characteristics of signals of one or more Wi-Fi access points observed by the mobile device from the current location. The positioning software computes the current location of the mobile device using at least the characteristics of signals observed by the mobile device and the location of Wi-Fi access points stored in the reference database, and provides the computed current location to the application or service.
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:
Systems and methods for providing contextual information about a place within a range of a wireless signal beacon are provided. A reference database of wireless beacons stores attributes associated with wireless beacons. Wireless-enabled devices and/or server systems receive information identifying wireless beacons in range of the wireless-enabled devices and determine a received signal strength indication of the wireless beacons. The wireless-enabled devices and/or server systems then retrieve from the reference database extended attributes that are associated with the wireless beacons and determine at least one associated contextual attribute about the place within range of the wireless beacons.
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 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.
Abstract:
Systems for and methods of determining likelihood of reference point identity duplication in a positioning system are disclosed. A method of determining a measure of likelihood that a designated identifier is shared by wireless devices includes determining reference points associated with any wireless device having a designated identifier. The reference points are a geographic position at which signals from any of the wireless devices were detected and/or wireless devices from which signals were also detected within a selected period of time during which the signals from any of the wireless devices having the designated identifier were detected. The method also includes determining statistical information about a temporal distribution of detection of signals of reference points, a spatial distribution of the reference points, and/or a cardinality of the reference points and determining a measure of likelihood that the designated identifier is shared by wireless devices is based on the statistical information.
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 example embodiment, a certified location service enables a mobile device to access a location-based service when a determined location meets a location requirement and an overall confidence score for the determined location exceeds a confidence threshold. A data package is received including identifiers of beacons observed by the mobile device, and a location of the mobile device is determined based on a calculated location of one or more of the beacons. An overall confidence score for the determined location is calculated based on one or more individual confidence scores for the one or more beacons used in determining the location or composite confidence scores for types of the one or more beacons. The determined location and the overall confidence score are provided to one or more provider servers that allow the mobile device to access a location-based service based thereon.
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.