G01S5/013

SYSTEMS AND METHODS TO DETERMINE A LOCATION OF A MOBILE DEVICE
20170013409 · 2017-01-12 ·

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.

Remote control unit for a programmable multimedia controller

In one embodiment, a menu is semi-transparently overlaid upon a portion of a video being shown on a television coupled to a programmable multimedia controller. The menu has a plurality of selectable options and a selection cursor disposed on one of the plurality of selectable options. Input is received from a user on the remote control unit indicating a direction. In response to the input indicating the direction, the selection cursor is moved in a corresponding direction within the semi-transparently overlaid menu to bring the selection cursor to be disposed on a designated selectable option to permit selection of the designated selectable option. In response to selection of the designated selectable option, the programmable multimedia controller issues one or more control commands to a lighting system, a heating ventilation and air/conditioning (HVAC) system, and/or to an automatic shade system, to control operation of lighting, HVAC or window shades.

INTELLIGENT SECURITY VIA ACCURATE MOBILE DEVICE LOCATION SENSING
20250175769 · 2025-05-29 ·

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.

Device and method for geolocation in nearby environments

The invention relates to an identification and location device for remotely locating and identifying predetermined areas (Z) belonging to a nearby environment, the identification and location device comprising: a plurality of light radiation emission sources(S) located in predetermined areas (Z), each light radiation emission source(S) being connected to the electrical mains by a control circuit and configured to emit modulated light radiation (L), a portable receiver device (R) which is capable of receiving and processing the light radiation (L) emitted by the light radiation emission sources(S) and which is configured to generate an item of identification and location information relating to the predetermined area (Z). The invention also relates to an identification and location method for remotely locating and identifying predetermined areas (Z) belonging to a nearby environment.

Method and apparatus for in-house RF-based collaborative localization with automated data collection

A method for localization includes obtaining a request to localize an electronic device within an area, wherein the area includes a set of anchors. The method also includes transmitting a first message to the electronic device and a second message to the set of anchors. the first message includes a time for the electronic device to transmit a measurement signal and the second message includes the time for the set of anchors to receive the measurement signal from the electronic device. The method further includes receiving, from the set of anchors, signal information associated with the measurement signal. Additionally, the method includes identifying a location of the electronic device within the area based on the signal information. The method also includes transmitting, to the electronic device, the location of the electronic device within the area.

Method and system for locating objects within a master space using machine learning on RF radiolocation

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.

Method and system for locating objects within a master space using machine learning on RF radiolocation

Location of objects within an identified subspace defined within a predefined master space. The system includes an RF beacon associated with an object, the RF beacon transmitting signals to one or more of RF tags transmitting to an object location system a tag data package including an identification of the signals received by the RF tags from the RF beacon. The system includes a gateway receiving and extracting, from the transmitted tag data package, the identification of signals. The system further includes the location engine accessing an ML model trained by performing a survey of RF signals received from a plurality of RF signal sources during a prior RF master space survey operation and determining a subspace identifier corresponding to a predicted subspace location for the object by comparing the identification of signals included in the received tag data package to a model plurality of signals accessed from the model.