A method (100) for creating a model for positioning, the method (100) comprising: receiving (S150) a training dataset (1) comprising samples (10) of an estimation labeled type, each sample (10) of the estimation labeled type being associated with a measurement position, each sample (10) of the estimation labeled type comprising sensor data (12), measured at the measurement position associated with the sample (10), the sensor data (12) being characteristic of the measurement position associated with the sample (10); an estimated measurement position (14), being an estimate of the measurement position associated with the sample (10); an estimated accuracy (16), being an estimate of an accuracy of the estimated measurement position (14); training (S160) a machine learning model (20) to convert sensor data (12) to a position, wherein the training is based on the samples (10) of the estimation labeled type in the training dataset (1), whereby the model for positioning is created.

A system and method for determining location information of a portable device relative to an object is provided. In one embodiment, aspects of the system to determine location with respect to the portable device may be distributed among more than one device in the system.

Systems and methods for determining a location of one or more user equipment (UE) in a wireless system can comprise receiving reference signals via a location management unit having two or more co-located channels, wherein the two or more co-located channels are tightly synchronized with each other and utilizing the received reference signals to calculate a location of at least one UE among the one or more UE. Embodiments include multichannel synchronization with a standard deviation of less than or equal 10 ns. Embodiments can include two LMUs, with each LMU having internal synchronization, or one LMU with tightly synchronized signals.

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.

A method for determining location of a premises is disclosed. The method includes measuring a signal strength of a plurality of communication signals received at the premises, obtaining data associated with a source of the signals, estimating a propagation loss for the received signal, determining a distance between a source of each of the signals and the premises based on the estimated propagation loss, and triangulating the location of the premises.

Systems, methods, and computer readable media that determine a location of a device using multi-source geolocation data, where the methods include accessing new location data from a location source of a plurality of location sources, where the new location data includes a new position and an accuracy of the new position, and determining a current position and an accuracy of the current position based on the new position, the accuracy of the new position, an previous current position, and an accuracy of the previous current position. The method further includes determining a change in location based on a difference between the current position and the previous current position. Some systems, methods, and computer readable media are directed to scheduling location requests to generate location data where the scheduling and the actual requests are made based on a number of conditions.

It is provided a method for enabling determination of proximity of a mobile device (2a, 2b) to a beacon device (3a). The method is performed by a proximity determiner (1) and comprises the steps of: determining a set of beacon devices (3a-e) being detectable from the mobile device; obtaining beacon measurements of one or two beacon devices in each pair; generating a two-dimensional graph based on the beacon measurements; obtaining device measurements of signal strength of beacons from the beacon devices in the set of beacon devices; finding an optimum in a space defined by the two- dimensional graph; and determining the most probable position of the mobile device in the graph based on the optimum.

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 cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. Both stored maps and tracking maps used by portable devices may have wireless fingerprints associated with them. The portable devices may maintain wireless fingerprints based on wireless scans performed repetitively, based on one or more trigger conditions, as the devices move around the physical world. The wireless information obtained from these scans may be used to create or update wireless fingerprints associated with locations in a tracking map on the devices. One or more of these wireless fingerprints may be used when a previously stored map is to be selected based on its coverage of an area in which the portable device is operating. Maintaining wireless fingerprints in this way provides a reliable and low latency mechanism for performing map-related operations.

A method for notifying on a first mobile terminal an event related to a second mobile terminal is disclosed. The method includes collecting first parameters associated with a short-range radio communication device detected by the first mobile terminal, playing information on the first mobile terminal about an event related to the second mobile terminal when a match is detected between the first parameters and second parameters associated with a short-range radio communication device detected by the second mobile device, the second parameters being collected by the second mobile device. A corresponding mobile terminal capable of notifying an event related to another mobile terminal, as well as to a corresponding tracking device is also disclosed. In case of a pandemic, the method informs a user of mobile terminal that (s)he has been in contact with an infected user of another mobile terminal in the recent past.