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 system to assist in monitoring and improving services in hotels, motels and other lodging facilities. The system includes a plurality of fixed-location wireless devices that are situated throughout the facility and each service provider or asset to be monitored or tracked is provided with a cooperating mobile wireless device. The mobile devices may periodically transmit beacons that are received by the fixed location devices. The system may determine location based on evaluation of signal strength across a plurality of fixed devices. The system may include premapped calibration data on signal strength to assist in determining location. The location information may help to assess employee performance, to assist in improving performance and to provide improved services. The system may also interact with an application running on a hotel guest's electronic device to allow the system to track guest location. Guest location information can be used to provide improved guest services.

Transmitting information used to estimate a position of a mobile device. This disclosure describes NEAD-based and external location server (ELS)-based positioning systems and methods that determine when an identifier of a mobile device is not known or when the identifier of the mobile device is known but cannot be detected during a search by reference points, and to then provide a location of a reference point that had previous contact with the mobile device instead of an estimated position of the mobile device. The provided location of the reference point can be used by a location server to generate an estimate of mobile device position.

Mapping through crowdsourcing includes determining, using a processor, segments for a plurality of trajectories, wherein each trajectory includes radio frequency (RF) data from a communication device, determining, using the processor, RF features for the segments, and forming, using the processor, clusters of the segments according to the RF features. One or more routes of a map are generated from the clusters using the processor.

A method, in a mobile device, of controlling region determination by the mobile device, includes: determining a present pressure at the mobile device; determining, based on the present pressure and a reference pressure, that the mobile device moved from a first region to a second region within a structure, the first region and the second region being different regions of the structure and vertically displaced from each other; and performing region determination in response to determining that the mobile device moved from the first region to the second region.

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.

Described is intelligent security based on the detection of the presence of mobile devices within a defined region, determined via accurate mobile device location sensing, e.g., within on the order of one meter. Upon detection of the presence of a mobile device within a defined region via mobile device millimeter wave-based position sensing, an identity associated with the mobile device is obtained. If the identity associated with the mobile device is not a trusted identity, action can be taken based on the presence of the identity within the defined region. The intelligent security can be implemented within an application program of a registered user's mobile device and/or a security system, such as a commercially available security system with alarm monitoring services. Various criteria can determine the action(s) to take, including by which region (if more than one), time of day, identity trust level, duration of presence, and the like.

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.

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.

Disclosed herein are methods and systems for mapping irregular features. In an embodiment, a computer-implemented method may include obtaining tracking data that has dead reckoning tracking data for a tracked subject along a path and performing shape correction on the tracking data to provide a first estimate of the path.