A method for locating wireless tags is described. A signal including a RoomID generated by a transceiver is received by a wireless tag. The RoomID identifies a room corresponding to the transceiver and the wireless tag receives the signal asynchronously without being synchronized with the transceiver. A tracking packet including the RoomID and an identifier of the wireless tag is broadcasted by the wireless tag. The tracking packet is received by an access point which provides the tracking packet to a localization system that determines a location of the wireless tag based on the RoomID.

Disclosed is an approach to enable radio map download for Global Navigation Satellite System (GNSS)-denied areas. In particular, processor(s) (e.g., of positioning server(s)) could identify GNSS-denied area(s) in an initial radio map, the GNSS-denied area(s) being (i) one or more areas in which at least one GNSS signal is or was unavailable and (ii) a subset of a plurality of areas represented by the initial radio map. Subsequently, the processor(s) could generate a partial radio map representing radio data only for the GNSS-denied area(s) identified in the initial radio map, and could then transmit the partial radio map to a mobile device for storage at the mobile device. In this way, the mobile device could optimize resource usage and perform radio-based position estimations at least in the GNSS-denied area(s) that were identified.

A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

A system may include at least one computer-readable storage medium including a set of instructions for locating a wireless device having wireless fidelity (WiFi) capability, and at least one processor in communication with the computer-readable storage medium, wherein when executing the set of instructions, the at least one processor is directed to: obtain a positioning request from the wireless device, the wireless device is in communication with at least one WiFi network; obtain WiFi data from the wireless device; and determine a default location associated with the WiFi data as a location of the wireless device.

Embodiments described herein provide means by which a civic location of a target mobile device may be determined using crowdsourced information from other mobile devices. The information can include information regarding Access Points (APs) and/or other access nodes obtained by the other mobile devices, as well as respective locations of the other mobile devices. A server, for example, can use this information to determine a coverage heatmap for each AP. Coverage heatmaps can be used, along with civic location information, to determine a civic location of a target mobile device based on the target mobile device's detection and possible measurements of wireless signals from one or more of the APs.

Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile device to crowd source mobile terrestrial transceiver identifiers associated with mobile terrestrial transports. In an embodiment, transceiver identifiers associated with mobile terrestrial transports may be identified and tracked through the detection and measurement of signals transmitted by mobile terrestrial transceivers received either by mobile devices located on the mobile terrestrial transport or through the detection and measurement of transient signals transmitted by passing mobile terrestrial transceivers received by stationary or near stationary mobile devices. The identity of detected mobile terrestrial transceivers and their locations and time observed may be uploaded to a server. The crowdsourced location and schedule information for the mobile terrestrial transports may be downloaded to mobile devices to provide transportation information such as arrival times, departure alerts, targeted stop alerts and other transport related functionality.

It is inter-alia disclosed a method comprises: obtaining or holding available at least one training set of radio signal observation results, wherein a respective training set of radio signal observation results is held available in association with identification information of a corresponding area of interest on a site, wherein a respective training set of radio signal observation results is captured at a corresponding observation position within a corresponding area of interest on said site; obtaining or holding available area of interest information indicating whether at least one tracking device has been determined to have entered and/or to have been located within a corresponding area of interest on the site; obtaining or holding available current radio signal observation data of a current tracking device representing one or more current sets of radio signal observation results captured by a radio interface of the current tracking device when present on said site, wherein a respective current set of radio signal observation results is captured at a corresponding observation position on said site; determining whether the current tracking device has entered or is located within an area of interest, identification information of which is associated with the at least one training set of radio signal observation results, based on at least one current set of radio signal observation results, based on at least one training set of radio signal observation results associated with the identification information of the area of interest, and based on the area of interest information.

A method, apparatus and computer program product are provided to estimate the reference position associated with fingerprint data by selectively utilizing an online positioning system. In the context of a method and in an instance in which a global navigation satellite system is available for location determination, the method determines the location of a data collection device in conjunction with the collection of fingerprint data. In this instance, the location is determined based upon information provided by the global navigation satellite system. However, in an instance in which the global navigation satellite system is unavailable for location determination, the method provides, via a computer network, an online positioning system with at least some fingerprint data collected by the data collection device. In this instance, the method also determines the location of the data collection device in conjunction with the fingerprint data based upon information provided by the online positioning system.

A method for associating an address with a fingerprint, according to an aspect of the present invention, comprises the steps of: receiving collected information including an address and a wireless LAN fingerprint; storing the received collected information; filtering multiple pieces of stored collected information according to addresses, on the basis of multiple pieces of collected information for adjacent addresses; and constructing a radio map by using the collected information filtered according to addresses.

Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.