This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for ML model grouping techniques. A UE may receive a configuration for one or more ML models, which may be based on a capability of the UE. The configuration may be associated with at least one of a task or a condition of at least one procedure of the UE. The one or more ML models may be switchable at the UE based on the condition of the at least one procedure of the UE. The UE may allocate the one or more ML models to at least one of a BMG or an SMG for switching between the one or more ML models based on the at least one of the task or the condition of the at least one procedure of the UE.

Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.

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.

Techniques described herein may be used to locate a user device within a wireless network. A first user device may send, to a location server, a request to locate a second user device. The location server may determine a general location of the second user device based on a wireless network service, a Global Positioning System (GPS) service, etc. The location server may collect sensor information (e.g., Radio Frequency (RF) signal strength, temperature, pressure, etc.) from the first user device and/or the second user device. The location server may analyze, compare, and otherwise process the sensor information to generate and send, to the first user device, instructions for locating the second user device.

The invention relates to determination of a location of a device of a user. In a methods, information of signal strength of one or more wireless signals and information of signal strength distribution of wireless signals is obtained by a device. The information of signal strength and the information of signal strength distribution are used to determine at least one likelihood whether the device is inside an area. In the method radio maps representing signal strength distribution in the building may be used.

Systems and methods are provided for deterministically estimating whether the location of a computing device that is fixed or mobile is inside a fully enclosed building or not (e.g., fully or partially indoors/outdoors). Various environments are supported by the substance of the disclosure, including fully or partially indoor and outdoor environments.

The present invention relates to a method, a system and a computer program product for determining a position relative to a confined space. For this purpose, one or more UWB anchors are provided on the confined space, a distance of the UWB item relative to the one or more UWB anchors is repeatedly determined, a variability is determined based on the repeatedly determined distances and it is determined whether the UWB item is in the confined space, by comparing said variability with a predetermined variability limit value.

Various embodiments provide systems and methods for selecting one of a number of location determination services supported by a monitoring system. The monitoring system may include a user attached monitor device configured to support a first subset of the location determination services and a user detached monitor device configured to support a second subset of the location determination services. In other cases, the monitoring system may include only a user attached monitor device or a user detached monitor device.

Provided is a method and apparatus of recognizing a location of a user device, and the method of recognizing a location of a user device. The method includes receiving a device signal fingerprint from a user device, calculating similarities between the device signal fingerprint and reference signal fingerprints collected inside a store and stored in a database in association with store information, and determining whether the user device is located inside or outside the store on the basis of the similarities.

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.