A location engine uses the empirical measurements made by a scouting wireless terminal (i) to discover the existence of a reference radio within a geographic region; (ii) to generate an estimate of the location of the newly-discovered reference radio, and (iii) to generate an estimate of the transmission power of the downlink control channel radio signal transmitted by the newly-discovered reference radio. The location engine then uses: (i) the estimate of the location of the newly-discovered reference radio, and (ii) the estimate of the transmission power of the downlink control channel radio signal transmitted by the newly-discovered reference radio, and (iii) measurements, made by a user wireless terminal, of the power of each of the downlink control channel radio signals transmitted by each of the reference radios to generate an estimate of the location of the user wireless terminal.

A method of localizing a device within an environment includes a step, in which a first location information is acquired that is representative of a first specified position. In another step, a first sensor information is acquired that is representative of the first specified position. In another step, the first sensor information is allocated to the first location information in order to generate a first condition information that is unique for the first specified position. In another step, a knowledge base is provided which includes the first condition information. In another step, the device provides a current sensor information indicating a current condition of the environment present at the current position of the device. In another step, the device is localized based on a matching between the current sensor information and the plurality of condition information.

A mobile device collects data, which enables a generation of a radio map for a site. The collection comprises detecting at least one indication of a floor, at which a user is located, in a user input; and performing measurements on radio signals to obtain for each of a plurality of locations of the site a set of characteristics of radio signals. The mobile device receives, during the collection of data, data from a barometer, verifies a most recent indication of a floor in a user input based on changes in the data from the barometer, and outputs a warning to the user in the case of a discrepancy. The mobile device associates each set of characteristics with a floor indicated by a user. The mobile device provides the sets of characteristics and their association with a floor for a generation a radio map supporting a positioning at the site.

A positioning system has an initiator device configured for emitting a high-speed wireless signal, at least one reference device configured for receiving the high-speed wireless signal and emitting a low-speed wireless signal after receiving the high-speed wireless signal, at least one target device each having one or more components for receiving the low-speed wireless signals, and at least one engine configured for determining the position of each of the at-least-one target device by calculating the distance between the target device and each of the at-least-one reference device based on at least the times-of-arrival of the low-speed wireless signals, each time-of-arrival being the time that the corresponding low-speed wireless signal being received by the target device, and determining the position of the target device based on the calculated distances.

Techniques are disclosed for predictive media streaming using microlocation. Microlocations of a mobile device can be determined by measuring one or more sensor values at one or more times, the one or more sensor values are determined from one or more signals emitted by a corresponding one or more signal sources. Streaming events can be stored at the mobile device. Each streaming event may include a destination device for playing media and a cluster location, the cluster location corresponding to sensor values that are spatially near each other. A selection of a media item is detected and one or more current sensor values are measured. A current cluster location can be identified using the one or more current sensor value. The current cluster location and the streaming events can identify a particular destination device for playing the selected media item.

A mobile device collects data, which enables a generation of a radio map for a site. The collection comprises detecting at least one indication of a floor, at which a user is located, in a user input; and performing measurements on radio signals to obtain for each of a plurality of locations of the site a set of characteristics of radio signals. The mobile device receives, during the collection of data, data from a barometer, verifies a most recent indication of a floor in a user input based on changes in the data from the barometer, and outputs a warning to the user in the case of a discrepancy. The mobile device associates each set of characteristics with a floor indicated by a user. The mobile device provides the sets of characteristics and their association with a floor for a generation a radio map supporting a positioning at the site.

A method of training a predictor to predict a location of a computing device in an indoor environment incudes: receiving training data including strength of signals received from wireless access points at positions of an indoor environment, where the training data includes: a subset of labeled data including signal strength values and location labels; and a subset of unlabeled data including signal strength values and not including labels indicative of locations; training a variational autoencoder to minimize a reconstruction loss of the signal strength values of the training data, where the variational autoencoder includes encoder neural networks and decoder neural networks; and training a classification neural network to minimize a prediction loss on the labeled data, where the classification neural network generates a predicted location based on the latent variable, and where the encoder neural networks and the classification neural network form the predictor.

A positioning system has an initiator device configured for emitting a high-speed wireless signal, at least one reference device configured for receiving the high-speed wireless signal and emitting a low-speed wireless signal after receiving the high-speed wireless signal, at least one target device each having one or more components for receiving the low-speed wireless signals, and at least one engine configured for determining the position of each of the at-least-one target device by calculating the distance between the target device and each of the at-least-one reference device based on at least the times-of-arrival of the low-speed wireless signals, each time-of-arrival being the time that the corresponding low-speed wireless signal being received by the target device, and determining the position of the target device based on the calculated distances.

A method and system of infrastructure based mobile device navigation of an indoor area. The method, executed in a processor of a server computing device, comprises classifying, responsive to accessing an infrastructure map of the indoor area, the indoor area into a first and an at least a second infrastructure regions; localizing a mobile device within the first infrastructure region in accordance with a first positioning algorithm; and switching, responsive to identifying the mobile device within the at least a second infrastructure region, from the first positioning algorithm to an at least a second positioning algorithm as basis for localizing the mobile device.

Disclosed is an electronic device including: a sensor module comprising at least one sensor configured to detect sensing data including a magnetic signal, movement of the electronic device, acceleration of the electronic device, and/or an angle orientation of the electronic device with respect to a ground, a memory configured to store a virtual marker platform, and a processor operatively connected to the sensor module and the memory, wherein the processor is configured to control the electronic device to: receive the sensing data from the sensor module, generate a first virtual marker corresponding to a first location corresponding to a current location of the electronic device using the sensing data, store the first virtual marker in the memory, detect an arbitrary virtual marker, load the first virtual marker from the memory, and request a specified service and/or perform an event designated to be performed in the first location by the electronic device based on the arbitrary virtual marker matching the first virtual marker.