A positioning system comprising a processing system (7; 9) configured to receive a first position estimate for a mobile device (7), and to receive data representative of an acoustic signal received by the mobile device (7) from one of a plurality of acoustic transmitter units (2, 3, 4, 5). For each of the acoustic transmitter units (2, 3, 4, 5), the processing system (7; 9) determines spatial likelihood data representative of a likelihood of the received acoustic signal having been transmitted by the respective acoustic transmitter unit by comparing a time-of-flight range value with a geometric distance value, representative of a distance between the acoustic transmitter unit and the first position estimate. The processing system (7; 9) processes the spatial likelihood data to identify a subset of the acoustic transmitter units, and processes information relating to the positions of the acoustic transmitter units in the identified subset and/or relating to the acoustic signals transmitted by the acoustic transmitter units in the identified subset, to determine a second position estimate for the mobile device (7).

A safety system for localizing a person or object has a control and evaluation unit, at least one radio location system, and at least one spatially resolving sensor for the position determination of the person or object. The radio location system has arranged radio stations, wherein at least one radio transponder is arranged at the person or object. Position data and classification data of the person or object can be determined by means of the radio location system. The position data and the classification data can be transmitted from the radio station to the control and evaluation unit and position data and contour data of the person or object can be determined by means of the spatially resolving sensor. The control and evaluation unit is configured to compare the position data of the radio location system and the position data of the spatially resolving sensor.

An automatic wall climbing type radar photoelectric robot system for damages of a bridge and tunnel structure, mainly including a control terminal, a wall climbing robot and a server. The wall climbing robot generates a reverse thrust by rotor systems, moves flexibly against the surface of a rough bridge and tunnel structure by adopting an omnidirectional wheel technology, and during inspection by the wall climbing robot, bridges and tunnels do not need to be closed, and the traffic is not affected. Bridges and tunnels can divide into different working regions only by arranging a plurality of UWB base stations, charging and data receiving devices on the bridge and tunnel structure by means of UWB localization, laser SLAM and IMU navigation technologies, a plurality of wall climbing robots supported to work at the same time, automatic path planning and automatic obstacle avoidance realized, and unattended regular automatic patrolling can be realized.

There is disclosed a method of updating a database of positioning data, using a mobile user device moved along a path through a plurality of positions, the method comprising the steps of: at each of the plurality of positions: receiving position estimate data and measurement data from a plurality of positioning modules associated with the mobile user device; calculating an estimate of the position in dependence on the data received from the plurality of positioning modules; and storing the estimate of the position and the measurement data; subsequently processing the stored measurement data to calculate at least one revised estimate of a respective position; and processing said at least one revised estimate to update the database of positioning data.

A wireless transmitting/receiving system includes a transmitter, a first directional receiver, a camera, a storage device and a processor. The transmitter is disposed on a target object and transmits a wireless signal. The first directional receiver is disposed with respect to an entry/exit boundary. The first directional receiver receives the wireless signal and generates a first received signal strength indication. The camera captures an image of the entry/exit boundary. The storage device stores a mapping table of target object location and received signal strength. The processor is electrically connected to the storage device and determines a location of the target object and a moving direction of the target object with respect to the entry/exit boundary according to the image and the mapping table of target object location and received signal strength.

Disclosed are techniques for calculating a predicted location of a location tracking device. In an aspect, a wireless communications device detects a breach of a geofence made by the location tracking device, receives data representing a state of the location tracking device, the state of the location tracking device comprising at least a current location of the location tracking device and a velocity of the location tracking device, and determines, based on the data representing the state of the location tracking device, the predicted location of the location tracking device.

A method and system for positioning an indoor autonomous mobile robot is disclosed in this application, which includes: indoor layout of moving paths and indoor relative position information of the moving path are obtained by a vision sensor; visual positioning is performed by a visual locator on indoor image data collected by the visual sensor to obtain the first position information; and second position information of a UWB location tag is obtained and solved by an UWB locator; the first position information and the second position information are fused by an adaptive Kalman filter, to obtain final positioning information of the autonomous mobile robot. After fusion, the UWB locator can correct the accumulated error caused by visual positioning, and at the same time, visual positioning can smooth measured data of the UWB locator to make up for deficiencies.

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.

It is provided a method for performing localisation of a first user device comprising an environment sensor. The method is performed in a localisation determiner and comprising the steps of: determining a dynamicity parameter indicating an extent of environment dynamicity for the first user device; determining when the dynamicity parameter indicates that the first user device is in a dynamic environment; triggering localisation to occur using localisation procedures of a cellular network to which the first user device is connected, when the first user device is determined to be in a dynamic environment; and triggering localisation to occur using at least one environment sensor of the first user device when the first user device is determined to not be in a dynamic environment.

Disclosed are, according to various embodiments, a method for transmitting, by a user equipment (UE), a first collective perception message (CPM) in a wireless communication system supporting a sidelink, and an apparatus therefor. Disclosed are the method and the apparatus therefor, the method comprising the steps of: obtaining first object information on surrounding objects through a sensor; receiving a second CPM including second object information; and transmitting the first CPM including the first object information and location information for the UE, wherein the second CPM further includes information on a location reliability of the second object information, the position information of the UE is corrected by applying an offset, based on the first object information and the second object information being object information for the same object, and the offset is determined by applying a ratio between a first position reliability related to the position information of the UE and the second position reliability included in the second CPM to a distance between an object position based on the first object information and an object position based on the second object information.