Methods, apparatus and systems for wireless tracking with graph-based particle filtering are described. A described wireless monitoring system comprises a transmitter transmitting a series of probe signals, a receiver, and a processor. The receiver is configured for: receiving the series of probe signals modulated by the wireless multipath channel and an object moving in a venue, and obtaining a time series of channel information (TSCI) of the wireless multipath channel from the series of probe signals. The processor is configured for: monitoring a motion of the object relative to a map based on the TSCI, determining an incremental distance travelled by the object in an incremental time period based on the TSCI, and computing a next location of the object at a next time in the map based on at least one of: a current location of the object at a current time, the incremental distance, and a direction of the motion during the incremental time period.

Methods are provided for determining a positioning of a portable device including first and second sensor(s) each having a confidence. These methods include: receiving first and second signals from the first and second sensor(s), respectively; generating positional data representing positional conditions of the portable device and including first and second positional data respectively from the first and second signals, by modelling the received signals based on predefined models defining a correspondence between predefined signals and predefined positional data; comparing the first and second positional data to determine a difference between them; adjusting the confidence of the sensors by determining a new confidence depending on a previous confidence and the determined difference between positional data; weighting the generated positional data depending on corresponding confidences; and determining the positioning of the portable device based on the weighted generated positional data. Computer programs and systems suitable for performing such methods are also provided.

The present invention relates to an illumination system (1) for illuminating an object (2) located in an object space (8), comprising an illumination unit (3) adapted to emit illumination light (4b) into the object space (8), a distance measuring unit (5) for taking a distance image (41) of the object space (8) with the object (2) located therein, which distance measuring unit is arranged in relation to at least a part of the illumination unit (3) so that it is fixed at this part of the illumination unit, a marker system (6) with a marker emitter unit (66a) for emitting a marker signal (7), and a marker receiver unit (6ab) for detecting at least a portion (7a) of the marker signal (7), wherein the illumination system (1) is configured to localize the object (2) on the basis of the distance image (41) within an area of the object space (8) and individualise the object using the signal portion received with the marker receiver unit (6ab) and to illuminate the object (2) accordingly with the illumination unit (3).

A positioning method using images and radio waves may include: estimating a distance and an angle from the positioning reference node to a positioning target terminal; identifying an obstacle or reflective object in a vicinity of the positioning target terminal or on a path between the positioning target terminal and the positioning reference node by using image information on the positioning target terminal at a position estimated by the distance and the angle; estimating an incident angle or a reflection angle of a radio wave signal reflected by the reflective object identified based on the image information; and estimating a position of the positioning target terminal based on the reflection angle and the distance.

Systems and methods for spatial tracking using a hybrid signal are disclosed. A method for spatial tracking using a hybrid signal may include: receiving, from a peripheral unit and via an antenna array of a central unit, a signal that includes inertial measurement data from an inertial measurement unit (IMU) of the peripheral unit, and a constant tone extension (CTE); determining, based on the CTE, direction data for the peripheral unit; and determining, based on the direction data and the inertial measurement data, spatial tracking data for the peripheral unit.

A method performed by a system (120) for determining a position of a device (140) connected to a communication network (100) is disclosed. The method comprises obtaining a geographical area for the device based on a first position-estimation service, obtaining information on luminosity on the device over a time period, and determining a second position estimation for the device (140) based on the geographical area and on the information on luminosity, by comparing the information on luminosity over the time period to a 3D model of the geographical area, the 3D model comprising models of 3D objects of the geographical area and a model of sunlight shining onto the models of the 3D objects over the time period. Disclosed is further a corresponding system and a position-determining method performed by a communication device.

A method (100) for creating a model for positioning, the method (100) comprising: receiving (S150) a training dataset (1) comprising samples (10) of an estimation labeled type, each sample (10) of the estimation labeled type being associated with a measurement position, each sample (10) of the estimation labeled type comprising sensor data (12), measured at the measurement position associated with the sample (10), the sensor data (12) being characteristic of the measurement position associated with the sample (10); an estimated measurement position (14), being an estimate of the measurement position associated with the sample (10); an estimated accuracy (16), being an estimate of an accuracy of the estimated measurement position (14); training (S160) a machine learning model (20) to convert sensor data (12) to a position, wherein the training is based on the samples (10) of the estimation labeled type in the training dataset (1), whereby the model for positioning is created.

Methods and systems for identifying device positions include measuring radio signal strength information between devices. Inertial information is measured for the devices. The radio signal strength information and the inertial information are fused to determine relative locations between the devices. The relative locations are oriented to a fixed anchor node. Elevation is estimated for the plurality of devices using pressure sensor information.

A system includes an aircraft including a position sensor configured to output a position signal regarding a position of the aircraft within an airspace, and a propulsion system configured to output a position confirmation signal regarding the position of the aircraft within the airspace. A method includes outputting, by a position sensor of an aircraft, a position signal regarding a position of the aircraft within an airspace; and outputting, by a propulsion system of the aircraft, a position confirmation signal regarding the position of the aircraft within the airspace.

Apparatus and methods for enhanced wireless determination of a position and direction of a smart device are describe which support the display of a virtual tag upon a user interface of the smart device. Wireless transceivers controlled by the smart device communicate with reference point transceivers to generate data sufficient to determine relative positions of the wireless transceivers and a direction of interest. Operation of LIDAR may be operative to verify the position and direction of the Smart Device as well as a topography of the environment.