Device localization (e.g., ultra-wideband device localization) may be used to provide coordinated outputs and/or receive coordinated inputs using multiple devices. Providing coordinated outputs may include providing partial outputs using multiple devices, modifying an output of a device based on its position and/or orientation relative to another device, and the like. In some cases, each device of a set of multiple devices may provide a partial output, which combines with partial outputs of the remaining devices to produce a coordinated output.

A positioning system and method for determination of location data of an object are described. The positioning system includes one or more transmitting units configured to transmit a multi-frequency signal that comprises at least two different signal frequency components. The positioning system also includes a receiver system mounted on the object, and configured to receive the multi-frequency signals from the transmitting units, and to determine phases of each signal frequency component of the multi-frequency signal. The positioning system also includes a processing system configured to receive the phases of each signal frequency component of the multi-frequency signal, and to determine a distance between the transmitting units and the object, and the location data of the object.

In an embodiment a method includes emitting at least one group of at least N+1 mutually temporally asynchronous synchronization signals from at least N+1 fixed emitting locations in a space, receiving the synchronization signals of the group by a mobile device and at at least one fixed receiving location in the space, determining a reception moment of each synchronization signal of the at least one group by the mobile device in a time base specific to the mobile device, determining a reception moment of the synchronization signals of the at least one group at the at least one receiving location in a time base specific to each receiving location, and determining a position of the mobile device in the space at a given moment based on the reception moments determined at the at least one receiving location, the reception moments determined by the mobile device, coordinates of the emitting locations in the space and a distance between each emitting location and the at least one receiving location.

An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors. The objective function includes empirical weights associated with distance errors of the measured distances.

An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors. The objective function includes empirical weights associated with distance errors of the measured distances.

An augmented virtual model of a commercial structure, such as a processing plant and/or a manufacturing plant which includes a virtual design, as built data and experiential measurement data. A User may view the augmented model in a virtual reality setting based with the content presented to the user based upon a location of the user at the time of viewing. Aspects of the Augmented Virtual Model are updated over time and utilized to track performance.

To provide a management apparatus capable of capturing a position of a specific individual satisfying a predetermined condition. A management apparatus according to an embodiment of the present technology includes a control unit. The control unit extracts, on the basis of first information that is generated by a sensor device worn by an individual and is related to a living body of the individual, a specific individual satisfying a predetermined condition, and generates, on the basis of position information related to a position of the specific individual, search information for causing a mobile object to move to the position of the specific individual.

To provide a management apparatus capable of capturing a position of a specific individual satisfying a predetermined condition. A management apparatus according to an embodiment of the present technology includes a control unit. The control unit extracts, on the basis of first information that is generated by a sensor device worn by an individual and is related to a living body of the individual, a specific individual satisfying a predetermined condition, and generates, on the basis of position information related to a position of the specific individual, search information for causing a mobile object to move to the position of the specific individual.

Described herein are methods and systems for locating lightning activity. A server computing device receives, from a satellite that detects lightning activity occurring in a geographic region, location coordinates and time data associated with lightning activity detected by the satellite. The server captures, from at least one of one or more ground-based lightning sensors that detect lightning activity, lightning feature data for lightning activity detected by the at least one of one or more ground-based lightning sensors. The server computing device determines a location of the lightning activity within the geographic region using the lightning feature data and the location coordinates and time data. The server computing device transmits the determined location of the lightning activity to one or more remote computing devices.

An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.