A computer-implemented method for precision hyperbolic location fingerprinting, the method comprising, at a computing system, the steps of: (a) receiving measured RSSI values associated with a plurality of fixedly-positioned sensor devices, wherein the plurality of fixedly-positioned sensor devices are stationary in known locations in a 2D environment and caused to transit radio signals to each other and measure characteristics of the received radio signals; (b) generating a raw RSSI fingerprint for each sensor device based on the measured RSSI values; (c) generating a log-ratio RSSI fingerprint between a pair of sensor devices; (d) normalizing the raw RSSI fingerprint and normalizing the log-ratio RSSI fingerprint; (e) combining the raw RSSI fingerprint and the log-ratio RSSI fingerprint to form a fusion RSSI fingerprint; and (f) repeating steps (a) to (e) at predetermined intervals to enhance prediction accuracy of regional fingerprints within the environment.

A method, apparatus and computer readable storage medium permit an updated radio map to be determined. In an iteration, the method obtains or holds available current radio map data representing a current radio map for a site and track data of a mobile device. The track data includes sensor data and radio signal observation data representing sets of radio signal observation results captured at different observation positions. The method estimates the observation positions on the track based on the current radio map data and the track data including the sensor data and the radio signal observation data and associates each estimated observation position with a respective set of radio signal observation results represented by the radio signal observation data to determine a sequence of radio fingerprints for the track. The method provides or uses the sequence of radio fingerprints for determining an updated radio map for the site.

A mobile radio apparatus transmits to a plurality of fixed radio apparatuses, a fingerprint that indicates a reception strength distribution of radio signals from the plurality of fixed radio apparatuses. Each of the plurality of fixed radio apparatuses in which a learning model is installed inputs the fingerprint to the learning model and transmits a degree of proximity of the mobile radio apparatus output from the learning model to another one or more of the plurality of fixed radio apparatuses, and determines a position of the mobile radio apparatus, based on a first degree of proximity output from the learning model and a second degree of proximity received from the other one or more of the plurality of fixed radio apparatuses.

An apparatus obtains results of measurements of a mobile device on radio signals transmitted by a radio transmitter at a site. The results include at least an identifier of the radio transmitter and an indication of a received signal strength of the radio signals. A plurality of radio transmitters are distributed at the site. The apparatus compares the received signal strength with a threshold. If the received signal strength exceeds the threshold, the apparatus causes a notification of a user of the mobile device, obtains an indication of a location based on a user input identifying a location on a map of the site, the map presented on a display of the mobile device, and causes storage of the identifier of the radio transmitter and the indication of the location as approximate location of the radio transmitter.

A method includes obtaining piece(s) of calendar information indicative of at least one appointment taking place in a space and extracting a set of space identifiers representing space(s) of the venue. The space identifier(s) for one or more spaces are extracted based on an indoor map of the venue. The method also includes determining or triggering determining whether at least a part of the set of space identifiers or one or more spaces of the set of space identifiers match(es) the at least one space as represented by the piece(s) of calendar information; and if a match is found: determining one or more reference location estimates. A respective reference location estimate is indicative of a location of the space that was determined to be a match. A corresponding apparatus, computer program product and system are also provided.

A method is provided for configuring a tracking system which estimates a location within a space by comparison of measurements of RF signals, made at the location, with a radio fingerprint map of the space. Estimated locations are correlated with synchronised detections of presence of a user (30) by sensors of a lighting system. RF signal measurements made by a user at a given time may thereby be associated with a user (30) detected at the same time in one or more respective sensing areas of lighting system sensors. The user (30) making RF signal measurements at a determined location may thereby be associated with a user (30) detected by the lighting system sensors at the same time. The association may be used to configure the radio fingerprint map. The location of the detected user (30) as determined by the tracking system may be provided to the lighting system.

Systems and methods for locating tagged objects in remote regions are presented herein, in one embodiment, a method of locating tagged objects in remote regions includes creating a signal strength probability density map by. The method also includes transmitting first packets of data from at least one first tag to a plurality of stations and determining, by a plurality of stations, received signal strength indicator (RSSI) for received first packets of data. The method also includes transmitting, by the plurality of stations, the RSSI to an uplink node; and transmitting, by the uplink node, the RSSI to a database. The method further includes determining, by the database, the signal strength probability density map representative of probabilistic locations of the at least one first tag; and transmitting second packets of data from a second tag to the plurality of stations. Based on the signal strength probability density map and the second packets of data from the second tag, a location of the second tag is determined.

An indoor geolocation system for determining a location in three-dimensional space includes a plurality of base stations and a mobile device movable about an indoor environment in three dimensions. The mobile device detects electromagnetic signals in the indoor environment emitted by devices other than the base stations, and generates a signal profile based on the signals. The mobile device transmits the signal profile to one or more of the base stations, which forward the signal profile to a remote server. The system determines a location of the in three-dimensional space of the mobile device by comparing the signal profile to data regarding signal profiles at a plurality of locations in the indoor environment. The data regarding signal profiles in the indoor environment may have been captured by a detection device other than the mobile device at a time prior to the detection of the electromagnetic signals by the mobile device.

A method is provided that includes obtaining one or more pieces of crowd-sourced information. A respective crowd-sourced information is at least indicative of a location at which the respective crowd-sourced information was gathered. The method determines a set of tiles at least partially based on the one or more geographical areas. For at least one tile, the method obtains one or more pieces of fingerprint information comprised by the one or more pieces of crowd-sourced information that were gathered within the respective area of the respective tile and determines an area type and/or context information indicative of a type of venue located within the respective tile and/or context the respective area of the respective tile is used for. The area type and/or context information is determined at least partially based on the one or more pieces of fingerprint information. A corresponding apparatus and computer program product are also provided.

A method includes obtaining or holding available first radio map information representing a first radio map for a first environment. The method also includes determining, at least partially based on said first radio map information, second radio map information representing a second radio map for a second environment. The second radio map contains or represents a respective radio coverage model for each radio device of a group of radio devices. A portion of the second environment at least partially covers the first environment. A density of radio coverage models contained in or represented by said second radio map in the portion of said second environment and at least partially covering the first environment is higher than a density of radio coverage models contained in or represented by the second radio map in a remaining portion of the second environment. A corresponding apparatus and computer program product are also provided.