A method is disclosed that is performed by a mobile device and that includes receiving at least one radio signal when scanning for observable radio signals at an observation position of the mobile device; determining or causing determining a venue associated with an identifier contained in or represented by the at least one radio signal at least partially based on a plurality of venue information items; and determining or causing determining a position estimate of the observation position at least partially based on layout information representing a layout of the venue associated with the identifier. A corresponding apparatus and non-transitory computer readable storage medium are also disclosed.

To calibrate a device, a system receives an indication of current weather conditions at a geographic area, obtains, from a database, elevation data for the geographic area, and generating expected measurements of atmospheric pressure at the geographic area using the indication of weather conditions and the elevation data for the geographic area. The system then causes at least one mobile device located in the geographic area and equipped with a barometer to calibrate the barometer using the expected measurements of atmospheric pressure.

A method is disclosed that is performed by a mobile device and that includes receiving at least one radio signal when scanning for observable radio signals at an observation position of the mobile device; determining or causing determining a venue associated with an identifier contained in or represented by the at least one radio signal at least partially based on a plurality of venue information items; and determining or causing determining a position estimate of the observation position at least partially based on layout information representing a layout of the venue associated with the identifier. A corresponding apparatus and non-transitory computer readable storage medium are also disclosed.

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values using one or more sensors of a mobile device and the one or more sensor values are determined from one or more signals emitted by a first one or more accessory devices. An area of a physical space for the first one or more accessory devices can be determined based on the one or more sensor values. A second one or more accessory devices associated with the same area as the first one or more accessory devices can be suggested to a user.

Positioning mobile devices in a three-dimensional space includes receiving multiple traces, each trace corresponding to a sequence of atmospheric pressure readings from a respective mobile device, receiving indications of signals received by the mobile devices from signal sources concurrently with the atmospheric pressure readings, generate similarity metrics for the multiple traces using the indications of other signals received by the mobile devices, the similarity metrics being indicative of associations between the signal sources and the atmospheric pressure readings, and determine estimated changes in elevation over time for the multiple traces using the generated similarity metrics.

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values to determine a data point at each of a plurality of first times, associating an accessory device with each of the data points, clustering the data points within a threshold distance of each other to create a plurality of clusters. The method also includes, after clustering the data points, measuring one or more sensor values to determine one or more current data points at a second time, determining that one or more current data points at the second time corresponds to a first cluster of the plurality of clusters, identifying a first accessory device associated with one or more of the data points in the first cluster, and providing a message using the application.

At an emergency response system, a first location including a latitude and a longitude at which a first device is located is received. At an emergency response system, an air pressure reading measured by the first device is received. Using the air pressure reading and a mean sea-level barometric measurement, a first elevation of a device is computed. Using the first location, a corresponding street address is computed. Using the street address and the first elevation, a floor number is computed. The street address and the floor number are transmitted to a second device.

At an emergency response system, a first location including a latitude and a longitude at which a first device is located is received. At an emergency response system, an air pressure reading measured by the first device is received. Using the air pressure reading and a mean sea-level barometric measurement, a first elevation of a device is computed. Using the first location, a corresponding street address is computed. Using the street address and the first elevation, a floor number is computed. The street address and the floor number are transmitted to a second device.

Methods and apparatus for construction, deployment and maintenance of an infrastructure with Intelligent Automation engaged in Structural Messaging. Intelligent Automation includes sensors generating data quantifying conditions within or proximate to the Infrastructure. Structural Messaging transmits the data quantifying conditions within or proximate to the Infrastructure. In some embodiments, Intelligent Automation is combined with machine generated location and a direction of interest which may be referenced in the provision of content of a user interface.

Disclosed herein are methods and systems for fusion of sensor and map data using constraint based optimization. In an embodiment, a computer-implemented method may include obtaining tracking data for a tracked subject, the tracking data including data from a dead reckoning sensor; obtaining constraint data for the tracked subject; and using a convex optimization method based on the tracking data and the constraint data to obtain a navigation solution. The navigation solution may be a path and the method may further include propagating the constraint data by a motion model to produce error bounds that continue to constrain the path over time. The propagation of the constraint data may be limited by other sensor data and/or map structural data.