An estimation system estimates the arrangement of objects. The estimation system includes an estimation unit. The estimation unit obtains information related to an arrangement pattern of the objects as first information and obtains, from wireless devices respectively connected to the objects, information including response times between the wireless devices as second information to estimate the arrangement of the objects based on the first information and the second information.

According to certain embodiments, a method for use in a network node comprises: obtaining range information for a wireless device in communication with the network node; obtaining direction information for the wireless device; and estimating a movement of the wireless device based on the range information, the direction information, and an interactive multiple modeling (IMM) filter. The IMM filter comprises a three-dimensional (3D) constant velocity model, a 3D constant acceleration model, and a 3D constant position model.

A method to identify a problematic 2D position of a mobile device can include: determining a reported 2D position of the mobile device; determining a piece of information about the mobile device; and comparing the reported 2D position and the piece of information about the mobile device. Upon determining that the reported 2D position and the piece of information about the mobile device are consistent with each other, the reported 2D position of the mobile device is used as an estimate of the actual 2D position of the mobile device, or upon determining that the reported 2D position and the piece of information about the mobile device are not consistent with each other, the reported 2D position is determined to be problematic, and the reported 2D position of the mobile device is removed from a list of reported 2D positions of the mobile device.

The present disclosure relates to a system and method for detecting occupants, and more specifically, to a system and method for accurately detecting positions of occupants in a building using beacon signals.

In a second facility device whose installation location is unknown, a relative location estimator measures a wireless signal transmitted by a first facility device whose installation location is known and estimates a relative location between the first facility device and the second facility device. In a controller, a relative location receiver receives information indicating the relative location sent by the second facility device. An absolute location estimator estimates an absolute location of the second facility device based on the relative location indicated by the information received by the relative location receiver, the installation location of the first facility device, and installation specifications stipulated for the facility devices.

The present application relates to correction of position data used in a position information collection system, in which measurement points correspond to position data of a mobile body at respective time points and a movement path of the mobile body connects the measurement points in a time series. When the position data produces a movement path of the mobile body which passes through a not-enterable area, the position data is corrected such that the movement path of the mobile body circumvents the not-enterable area without reducing positioning accuracy, by performing position correction operations which include: determining a crossing status with regard to how the movement path crosses the not-enterable area; counting a number of the measurement points within the not-enterable area; and correcting the position data such that the movement path circumvents the not-enterable area.

A system and method of tracking and monitoring the location of devices for preventing theft and unauthorized use; and the tracking and monitoring of worn devices with sensors for monitoring persons requiring assistance and/or supervision.

A position determination system determines a position of a mobile terminal relative to a vehicle by a wireless communication. The position determination system includes: a communication device disposed in a vehicle compartment and configured to receive a wireless signal transmitted from the mobile terminal and detect a reception strength of the received wireless signal. The position determination system is configured to: determine whether the mobile terminal is existing in the vehicle compartment; estimate an amount of absorbers that exists in the vehicle compartment and may absorb radio waves having a frequency used for the wireless communication; adjust an inside determination value which is used as a threshold for determining that the mobile terminal is existing in the vehicle compartment; and determine that the mobile terminal is existing in the vehicle compartment in response to the inside device strength being equal to or greater than the inside determination value.

A position detection system 1 identifies position information on the basis of a position signal received from a storage medium 30P disposed in a placement area where a target item is placed, identifies item information on the basis of an item signal received from a storage medium 30Q attached to the target item, and associates the position information with the item information and stores the associated information when the item signal is received during a period of time that starts from a time at which the position information is identified and that does not exceed a predetermined length of time.

This disclosure provides a data-driven approach to departure detection. In particular, the disclosed approach uses location data, such as GPS, which is readily available for many vessels globally and historically through the automatic identification system (AIS). The approach clusters this data and then constructs a convex hull around these clusters for each port to define a port area. A vessel is then determined as departed when it leaves that port area. Clustering is computationally efficient as a number of optimised algorithms exist, which means even a very large dataset like historical locations of thousands of vessels can be processed relatively quickly. Further, the departure detection enables accurate estimation of arrival times. Further, actions can be triggered by the departure determination, such as automatic control of cranes, trucks, trains and other port equipment.