Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

A technique for estimating the location of a wireless terminal at an unknown location in a geographic region. The technique is based on a two-part recognition, the first part being that a transient in atmospheric pressure attributed to a particular source, such as an entry door of a building opening and closing, is detectable in some environments while not being present in others. The second part of the recognition is that a correlation exists between i) the presence of a transient in the characterization of a pressure wave in the vicinity of a wireless terminal and ii) whether the wireless terminal is indoors or not. Transients in pressure waves are often present indoors but not outdoors. By accounting for the transients being detected or not being detected in the vicinity of the wireless terminal, the disclosed technique is able to estimate whether the wireless terminal is indoors.

Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

A system comprising a mobile computing device that includes a processor and a memory. The memory storing programming executable by the processor to detect an identifier in each of two or more of asynchronous light sources detected by a light sensor, the identifier including a position of the light source and use at least a coordinate system having an origin in the light sensor and the position of the light source, to determine a location of the mobile device.

An identification system includes an identification device and a communication device. The identification device is attached to an article and including a sensor. The identification device is configured to operate in a plurality of modes and configured to switch between modes of the plurality of modes based on one or more conditions of a surrounding environment sensed by the sensor. The identification device is configured to send data to a server. The communication device of a user of the identification system is configured to receive data including location data of the identification device from the server using short message service protocols or messages through a signaling channel.

A positioning system has an initiator device configured for emitting a high-speed wireless signal, at least one reference device configured for receiving the high-speed wireless signal and emitting a low-speed wireless signal after receiving the high-speed wireless signal, at least one target device each having one or more components for receiving the low-speed wireless signals, and at least one engine configured for determining the position of each of the at-least-one target device by calculating the distance between the target device and each of the at-least-one reference device based on at least the times-of-arrival of the low-speed wireless signals, each time-of-arrival being the time that the corresponding low-speed wireless signal being received by the target device, and determining the position of the target device based on the calculated distances.

Method, node, computer program, and computer program product in a wireless communication network, comprising a network communication unit with a data link sub-layer, said node configured to calculate the Time of Arrival and/or Time of Flight based on a counted time from transmission of a response request message in the medium access control layer of said node to the corresponding arrival of a response to said response request message in the data link sub-layer of said node.

Determining the physical location of wirelessly connected devices within a network can provide a number of security benefits. However, manually determining and configuring the physical location of each device within a system can be burdensome. To ease this burden, devices within a network are equipped with a location detection sensor that is capable of automatically determining a device's location in relation to other devices within the network. A location detection sensor (sensor) may include a light source, a light direction sensor, a rangefinder, and a radio or wireless network interface. Two location detection sensors can perform a location detection process to determine their relative locations to each other, such as the distance between them. As more sensors are added to a network, a sensor management system uses the relative locations determined by the sensors to map the sensors to a physical space layout.

The technique and the system may be used for indoor positioning, where signals of navigation satellites are not available. In accordance with the technique patterns identifying location of the mobile terminal in a specific position may be detected, on the basis of data acquired from at least one inertial and non-inertial sensors in the process of movement of at least one mobile terminal; the path of movement of the above mobile terminal may be detected and saved in the local coordinate system associated with the above position, as well as data acquired from non-inertial sensors; statistically averaged parameters of conversion of local coordinate system of the mobile terminal may be generated in the positions detected in the process of terminal movement; at least one map of distribution of output values of non-inertial sensors may be prepared on the basis of data acquired at the previous step; the position of the above mobile terminal may be detected on the basis of data acquired at the previous step. The system may include a set of sensors of mobile terminal, a computer, a probability computation module, a module for selection of patterns, a data storage package and a coordinate converter.

This disclosure relates generally to telecom inventory management, and more particularly to telecom inventory management via object recognition and localization using street-view images. In one embodiment, the method includes obtaining street-view images of a geographical area having telecom assets. The telecom assets are associated with corresponding GPS location coordinates. An object recognition model is applied to the street-view images to detect the telecom assets therein. Detecting the telecom assets includes associating the telecom assets with corresponding asset labels. A real-world location of the telecom assets is estimated in the geographical area by applying triangulation method on a set of multi-view images selected from the street-view images. The set of multi-view images are captured from a plurality of consecutive locations in vicinity of the telecom asset in the geographical area. The GPS location coordinates of the telecom assets are validated based at least on the estimated real-world location.