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.

Geolocating one or more emitters includes obtaining a set of lines of bearing (LOBs) indicative of location(s) of emitter(s), determining intersections of LOBs of the set and generating clusters informed by those intersections, assigning the LOBs of the set to cluster(s) based on proximity, identifying a cluster having the greatest number of assigned LOBs from the set; determining an emitter location area based on a best point estimate for the cluster, and indicating a location of an emitter as the emitter location area. Additional emitters can be located by removing from the set of LOBs those LOBs assigned to the identified cluster, and repeating aforementioned aspects. Initially, the set of LOBs can be selected from a larger collection as a representative subset thereof.

A logistics control system includes a server configured to receive information on signal strengths of the signal, which is transmitted from the logistics device, from the at least three base station, specify a departure area of the logistics device using at least three signal strengths, specify a first travel area to which the logistics device is moved using azimuth and travel distance information received from the logistics device on the basis of the departure area after a certain time elapses, specify a second travel area to which the logistics device is moved using at least three signal strengths, and specify a presence area where the first travel area and the second travel area overlap as a location to which the logistics device is moved.

The present disclosure pertains to utilizing hardware and software to control and record environmental and other data obtained from sensors and other devices, placed throughout a facility, and analyzing and displaying the information in a detailed status report of the environmental conditions inside facility, and once analyzed, the software can provide recommendations to implement measures that increase the efficiency of the facility.

Systems and methods are disclosed herein that relate to positioning in a cellular communications system. In some embodiments, a method for determining a three dimensional location of a wireless device in a cellular communications network comprises obtaining a plurality of measurements for a wireless device, where the plurality of measurements are Time Difference of Arrival (TDOA) related measurements. The method further comprises computing a three dimensional position of the wireless device using the plurality of measurements and a vertical surface model, wherein the vertical surface model is a translated and scaled version of an initial vertical surface model. The new vertical surface model provides translation and scaling of the initial vertical surface model to a suitable range before it is used to determine the three dimensional position of the wireless device such that accuracy is improved, e.g., in large rural cells.

A system and method for detecting individuals in a target geographic location, such as a disastrous site, that identifies and locates potential victims using signals from the victims' cell phone utilizes an unmanned aerial vehicle controlled equipped with a retractable antenna component and a core network connection component. The retractable antenna component includes a mobile telephony base station and employs a smart antenna system so as to estimate the direction of arrival of all incoming signals. The core network connection component is operative to establish a wireless communication link with an Internet Protocol based core network of. When a victim's cell phones attempts to connect to the base station in order to access the core network, the location of the cell phone can be determined. The locations can be plotted on a map and based on the distribution of phones on the map, rescue efforts can be optimized.

A position estimation unit (2) comprising a first transceiver device (3) and a processing unit (10) that is arranged to repeatedly calculate time-of-flight (TOF) for radio signals (x.sub.1, x.sub.2, x.sub.3, x.sub.4, x.sub.5, x.sub.6) sent pair-wise between two transceivers among the first transceiver device (3) and at least two other transceiver devices (7, 8, 9); calculate possible positions for the transceiver devices (3, 7, 8, 9), which results in possible positions for each transceiver device (3, 7, 8, 9); and perform Multidimensional scaling (MDS) calculation in order to obtain relative positions of the transceiver devices (3, 7, 8, 9) in a present coordinate system. After two initial MDS calculations, between every two consecutive MDS calculations, the processing unit (10) is arranged to repeatedly perform a processing procedure comprising translation, scaling and rotation of present coordinate system such that a corrected present coordinate system is acquired. The processing procedure is arranged to determine the corrected present coordinate system such that a smallest change for the relative positions of the transceiver devices (3, 7, 8, 9) between the consecutive MDS calculations is obtained.

One or more processors obtain (a) first radio data and a first horizontal position corresponding to a mobile apparatus at a first time and (b) second radio data and a second horizontal position corresponding to the mobile apparatus at a second time. Responsive to determining that the first horizontal position and the second horizontal position are substantially similar, the one or more processors identify differences between the first radio data and the second radio data. Based at least in part on the differences between the first radio data and the second radio data and one or more threshold criteria, the one or more processors determine whether the mobile apparatus changed floors between the first time and the second time.

The invention relates to a localization apparatus for radio wave-assisted localization of a transponder, the localization apparatus comprising a control device, an evaluation device, a switching device, a first linear antenna array, and a second linear antenna array. The first antenna array and the second antenna array are controllable independently of one another, are arranged cross-wise with respect to one another, and include an angle not equal to zero between them. The control device is additionally adapted to control the switching device to connect the evaluation device alternately to the first antenna array and the second antenna array. The evaluation device is adapted to determine first and second reception angles at which a radio wave signal of the transponder is incident onto one of the first antenna array and the second antenna array when the first and second antenna arrays are connected to the evaluation device, respectively.

An interactive mobile robot system and a method for creating an invisible track for a mobile robot. The system and method allow the creation of invisible tracks by guiding objects. They also allow the use of such invisible tracks for the semi-autonomous or autonomous control of toys, including model cars and model trains, or of mobile robots to move them along a real-world path. The system includes a mobile robot, receiver circuitry to receive one or more position signals, and processing circuitry. The processing circuitry is configured to determine position information associated with the mobile robot based on the one or more position signals. The processing circuitry is further configured to create an invisible track based on the position information, to determine a current position of the mobile robot, and to generate control signals based on the current position of the mobile robot and the invisible track.