A system and methods for estimating the location of a mobile device are disclosed. In accordance with one embodiment, a mobile device located within a first corridor of a building receives (1) a first wireless electromagnetic signal and a first ultrasound signal from a first beacon located in the first corridor, (2) a second wireless electromagnetic signal and a second ultrasound signal from a second beacon located in the first corridor, and (3) a third wireless electromagnetic signal from a third beacon located in a second corridor of the building. The first wireless electromagnetic signal, the first ultrasound signal, the second wireless electromagnetic signal, and the second ultrasound signal are used to estimate a location of the mobile device.

A system and methods for estimating the location of a mobile device are disclosed. In accordance with one embodiment, a mobile device located within a first corridor of a building receives (1) a first wireless electromagnetic signal and a first ultrasound signal from a first beacon located in the first corridor, (2) a second wireless electromagnetic signal and a second ultrasound signal from a second beacon located in the first corridor, and (3) a third wireless electromagnetic signal from a third beacon located in a second corridor of the building. The first wireless electromagnetic signal, the first ultrasound signal, the second wireless electromagnetic signal, and the second ultrasound signal are used to estimate a location of the mobile device.

A mobile radio apparatus transmits to a plurality of fixed radio apparatuses, a fingerprint that indicates a reception strength distribution of radio signals from the plurality of fixed radio apparatuses. Each of the plurality of fixed radio apparatuses in which a learning model is installed inputs the fingerprint to the learning model and transmits a degree of proximity of the mobile radio apparatus output from the learning model to another one or more of the plurality of fixed radio apparatuses, and determines a position of the mobile radio apparatus, based on a first degree of proximity output from the learning model and a second degree of proximity received from the other one or more of the plurality of fixed radio apparatuses.

Provided is a monitoring system including an image obtaining apparatus and an image processing apparatus. The image obtaining apparatus includes: a camera; a beacon sensor; a processor configured to match beacon information obtained by detecting, by the beacon sensor, a beacon attached to an object existing in a monitoring region, to an image of the monitoring region captured by the camera; and a memory storing the image matched with the beacon information.

Provided is a monitoring system including an image obtaining apparatus and an image processing apparatus. The image obtaining apparatus includes: a camera; a beacon sensor; a processor configured to match beacon information obtained by detecting, by the beacon sensor, a beacon attached to an object existing in a monitoring region, to an image of the monitoring region captured by the camera; and a memory storing the image matched with the beacon information.

A moving robot has a body and at least one wheel for moving the main body. The moving robot has a transceiver to communicate with a plurality of location information transmitters located within an area. The moving robot also has a memory storing coordinate information regarding positions of the location information transmitters. Further, the moving robot has a controller that sets a virtual boundary based on location information determined using signals transmitted by the location information transmitters. The controller controls the wheel so that the main body is prevented from traveling outside the virtual boundary. The controller sets a reference location information transmitter and corrects the stored coordinate information by correcting height errors based on height differences between the reference location information transmitter and the other location information transmitters. The controller also corrects a current position of the main body based on the corrected stored coordinate information.

A moving robot has a body and at least one wheel for moving the main body. The moving robot has a transceiver to communicate with a plurality of location information transmitters located within an area. The moving robot also has a memory storing coordinate information regarding positions of the location information transmitters. Further, the moving robot has a controller that sets a virtual boundary based on location information determined using signals transmitted by the location information transmitters. The controller controls the wheel so that the main body is prevented from traveling outside the virtual boundary. The controller sets a reference location information transmitter and corrects the stored coordinate information by correcting height errors based on height differences between the reference location information transmitter and the other location information transmitters. The controller also corrects a current position of the main body based on the corrected stored coordinate information.

The invention relates to a guidance system for leading an aircraft to a reference point, characterised in that it comprises: An active beacon capable of emitting a first electromagnetic signal in a first emission cone, defined by an apex coinciding with the reference point, a first beam angle and a first axis corresponding to an emission direction; and a multi-beam radar, installed on board the aircraft, operating in reception mode and capable of performing deviation measurements on a signal received from the active beacon, the multi-beam radar comprising an antenna adapted for receiving in at least two spatially separate reception cones.

Embodiments for a device locator application are described. In an embodiment, one or more inertial displacement measurement values may be received using the inertial sensor and received camera sensor data, a trajectory based on the one or more inertial displacement measurement values may be determined, a beacon signal from a target wireless device and determine at least one signal strength value from the beacon signal may be received, at least one proximity value to the target wireless device may be estimated based on the at least one signal strength value corresponding to at least one position along the trajectory, and an indicator of the at least one proximity value to the target wireless device may be presented along the trajectory in a user interface.

A method is provided for localizing mobile tags using a system including a plurality of anchors located at known locations, the method including: transmitting a plurality of ultra-wideband (UWB) localization packets using respective anchors of the plurality of anchors, in which each of the plurality of localization packets is transmitted by a respective anchor of the plurality of anchors at a different respective delay time; and transmitting an update UWB packet with either an anchor of the plurality of anchors that does not transmit one of the localization packets, or with a mobile tag, in which the localization packets include no payloads, the update packet includes a payload, and in which successive ones of the plurality of localization packets and the update packet overlap with each other in time. A system for localizing mobile tags is also provided.