Disclosed are systems, methods, and non-transitory media for performing passive radio frequency (RF) location detection operations. In some aspects, RF data, such as RF signals including channel state information (CSI), can be received from a wireless device. The RF data can be provided to a self-supervised machine-learning architecture that is configured to perform object location estimation.

System and methods and computer program code are provided to perform a commissioning process comprising capturing, using an image capture device, an image of an area containing at least a first fixture, identifying location and positioning information associated with the image, performing image processing of the image to identify a location of the at least first fixture in the image, and converting the location of the at least first fixture in the image into physical coordinate information associated with the at least first fixture.

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.

A method and system for detecting a transition in positioning state of a mobile device relative to an indoor facility. The method, executed in a processor of the mobile device, comprises monitoring, based at least in part on global positioning system (GPS) data, for a positioning state of the mobile device as one of an indoor and an outside location relative to an indoor facility, determining a set of probabilistic weightings for respective ones of ambient data and the GPS data, the ambient data including one or more of received signal strength data, signal connectivity data, magnetic data, ambient lighting data and barometric data, and detecting a transition in positioning state of the mobile device from one of the indoor and the outside locations to another of the indoor and the outside locations when a weighted sum value based at least in part on the set of probabilistic weightings is one of above and below a predetermined state transition value.

An augmented reality based electronic device to provide location tagging assistance in an indoor or outdoor area, comprises an image-capture unit, a depth sensor, and circuitry. The circuitry determines a first reference point in a defined indoor area based on a selection of a first location on an application interface rendered at the first electronic device. A second location of the first electronic device in the defined indoor area may be computed based on the track of a relative motion from the first reference point. Output of first augmented reality content for at least a first object viewed through the image-capture unit in the defined indoor area, may be controlled based on a first position of the first object in a specified geographic coordinate system.

A system and method for providing a descriptive location of a first user device. The method includes: receiving a request to determine an updated descriptive location pointer for the second user device; receiving data associated with the first user device and at least one radio frequency (RF) signal; and determining an updated descriptive location pointer for the second user device based on a unique identifier collected by the first user device, the data associated with the first user device, and the at least one RF signal, wherein the unique identifier is created by the first user device based on data and RF signals received by the first user device during a learning phase, wherein the unique identifier is associated with at least one predetermined descriptive location pointer, wherein the updated descriptive location pointer is determined from among the at least one predetermined descriptive location pointer.

A method for determining the location of a frequency receiver device with respect to at least two frequency originator devices, each of a current location, the method including synchronizing a clock of the frequency receiver device with a clock of one of the at least two frequency originator devices; receiving by the frequency receiver device, a message including an identification code configured for identifying one of the at least two frequency originator devices and obtaining a broadcast time and a current location of the one of the at least two frequency originator devices by looking up a table correlating the at least two frequency originator devices and their respective broadcast times and current locations; calculating a time of flight of the message by calculating the difference between a receive time at which the message is received by the frequency receiver device and the broadcast time.

In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location system is configured to access multiple data models associated with a respective subspace and generated by associating a RF signal sample received by a tag in the associated subspace at a prior time. The object location system is configured to compare the representation of RF signals to each of the plurality of data models. The object location system is configured to select a candidate data model having a highest correlation with the representation of the RF signals from the comparison. The object location system is configured to predict that the object is located in a subspace associated with the candidate data model.

A mobile computer may determine it is located in a vehicle or a conveyance based on a measured distance, satellite related positioning information, and a touch input.

Systems and methods to position beacons at traffic choke points, use a mobile device to detect the peaks of beacon signals corresponding to the mobile device traveling through the traffic choke points, and thus determine accurately the position and speed of the mobile device in the transport corridor between the choke points. The determined position and speed of the mobile device can be used to improve the performance of other location determination technologies, such as radio frequency fingerprint-based location estimate and/or inertial guidance location estimate.