A method and device for identifying pressure sensors of a tire pressure monitoring system (TPMS) of a motor vehicle. The method includes emission of a sensor activation signal, receiving of signals from at least two different sensors following activation, attenuation and amplification of the signals received, determination of a value indicative of the power of the signals received, and identification of the spatial position of at least one sensor on the basis of values indicative of the power of the signal received. A device configured as a TPMS tool is used for implementing the method.

Embodiments of the present invention relate to the field of mobile communications technologies, and in particular, to an indoor positioning method and an apparatus. In this solution, a positioning server obtains floor numbers of floors on which at least one base station is located; the positioning server receives identification information of a first terminal; the positioning server determines the first terminal according to the identification information; and the positioning server determines vertical location information of the first terminal according to the floor numbers of the floors on which the at least one base station is located. When a terminal is located indoors, positioning is meaningful only when a specific floor on which the terminal is located is determined.

A technique for determining an estimated location of a radio network node (FBS) in a cellular network is disclosed. A method implementation of the technique comprises (a) determining, for each of a plurality of measurement reports sent by one or more User Equipments, UEs, (UE1) to one or more neighboring radio network nodes of the radio network node (FBS) in the cellular network, an estimated measurement location from which the respective UE (UE1) sent the respective measurement report, wherein each of the plurality of measurement reports includes signal strength information indicating a received signal strength from the radio network node (FBS) as measured by the respective UE (UE1), (b) for each of a plurality of pairs of the estimated measurement locations: dividing a surrounding area covering the estimated measurement locations of the respective pair into two subregions (Region I, Region II; Region III, Region IV), wherein every location in one of the two subregions (Region I, Region II; Region III, Region IV) is closer to one of the estimated measurement locations of the respective pair and every location in the other one of the two subregions (Region I, Region II; Region III, Region IV) is closer to the other one of the estimated measurement locations of the respective pair, and identifying, from the two subregions (Region I, Region II; Region III, Region IV) and based on the signal strength information included in the measurement reports belonging to the estimated measurement locations of the respective pair, the subregion (Region I, Region II; Region III, Region IV) in which the radio network node (FBS) is more likely located, and (c) determining the estimated location of the radio network node (FBS) as an intersected area of the identified subregions (Region I, Region II; Region III, Region IV).

A method for remote control of at least one non-ultra wide band (nUWB) device in a space by an electronic device is provided. The method includes identifying a position using at least one ultra wideband (UWB) anchor in the space, determining a field of view based on the position of the electronic device in the space, identifying the at least one nUWB device within the field of view, and establishing communication with the at least one nUWB device.

Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) determines a positioning measurement of a first multipath component of a radio frequency (RF) signal transmitted by a transmission-reception point (TRP), determines a first additional positioning measurement of a second multipath component of the RF signal, determines a second additional positioning measurement of a third multipath component of the RF signal, and transmits a measurement report to a location server, the measurement report including at least the positioning measurement, the first additional positioning measurement, the second additional positioning measurement, and one or more parameters associated with the first additional positioning measurement and the second additional positioning measurement.

A method for indoor positioning, depending upon an embodiment of the present invention, comprises the steps of: setting node data including information regarding the location of a positioning sensor on a movement path of a moving object with respect to an indoor space; obtaining first positioning data capable of determining a first section in which the moving object is currently located, by using at least one of the node data, first sensing data obtained through a sensor unit provided in the moving object, and second sensing data obtained through the positioning sensor; determining whether the first positioning data satisfies a preset reference value for a boundary node defining the first section; and determining subsequent positioning data of the first positioning data on the basis of at least one of the node data, information indicating whether the reference value is satisfied, and information indicating whether the boundary node rotates.

A method of localizing a mobile body (MB) in a known environment, includes the following steps: a) defining an occupancy grid (G) modeling the environment; b) defining a set of position grids (Π) each position grid being associated to a heading of the mobile body; c) receiving a time series of measurements (z.sub.1, z.sub.2, . . . ) from a distance sensor carried by the mobile body; and d) upon receiving a measurement of the time series, updating the pose probabilities of the position grids as a function of present values of the occupancy probabilities and of the received measurement; wherein step d) is carried out by applying an inverse sensor model to the received measurement, while considering the distance sensor co-located with a detected obstacle and by applying Bayesian fusion to update the pose probabilities of the position grids.

The present invention is an information processor including: a storage configured to store information related to an area in which a user moves around; a position calculator configured to calculate, based on a transmission signal of a communication device that moves together with the user, positions in the area of the communication device with the lapse of time; and a measuring unit configured to measure time during which each of virtual points continuously exists in a region with movement of the user, each of the virtual points being defined at a point of intersection between virtual lines that are arranged in grid in the area, the region centering at each position that is calculated by the position calculator, wherein a size of the region is set to contain at least two of the virtual points.

Examples described herein provide automatic location of access points by a computing device. Examples may include receiving, by the computing device from each AP in a subset of a plurality of APs, a Global Navigation Satellite System (GNSS) signal measurement, and based on each received GNSS signal measurement, constraining, by the computing device, the map of relative AP locations by at least one translational degree of freedom or one rotational degree of freedom. Examples may include resolving, by the computing device, locations of the plurality of APs in the map of relative AP locations.

A system is disclosed for managing waste services. The system may have a locating device configured to generate a signal indicative of a location of a service vehicle on a roadway, a communication device, and a controller in communication with the locating and communication devices. The controller may be configured to determine a side of the roadway at which a first target location is currently being serviced by the service vehicle, and to determine based on the signal from the locating device a proximity of the service vehicle to a second target location at which the waste services are to be performed. The second target location may be on the same side of the roadway as the first target location. The controller may also be configured to automatically provide via the communicating device an estimated time of arrival to a customer corresponding to the second target location, based on the proximity.