To acquire distance information with high accuracy with a simple configuration, and perform highly reliable positioning.

A communication device includes a distance acquisition unit that acquires distance information calculated on the basis of a propagation channel characteristic, and an altitude acquisition unit that acquires altitude information.

A system and method for an anti-hopping algorithm for an indoor localization system. A method includes receiving a plurality of beacons, each of the plurality of beacons is received from a respective transmitter, pre-filtering the plurality of beacons to identify a subset of the plurality beacons that exceed a minimum signal threshold, and comparing a signal strength of each beacon of the subset to a strongest signal strength threshold of a currently assigned beacon. A method includes selecting a beacon from the subset, the selected beacon has been detected to exceed the strongest signal strength threshold of the currently assigned beacon a predetermined consecutive number of times, and assigning a location to the receiver, the location corresponds to a location of a transmitter of the selected beacon.

A method includes obtaining or holding available first radio map information representing a first radio map for a first environment. The method also includes determining, at least partially based on said first radio map information, second radio map information representing a second radio map for a second environment. The second radio map contains or represents a respective radio coverage model for each radio device of a group of radio devices. A portion of the second environment at least partially covers the first environment. A density of radio coverage models contained in or represented by said second radio map in the portion of said second environment and at least partially covering the first environment is higher than a density of radio coverage models contained in or represented by the second radio map in a remaining portion of the second environment. A corresponding apparatus and computer program product are also provided.

A mobile device is configured for determining a position of the mobile device within buildings, the mobile device including: one or more motion sensors; one or more proximity sensors; a relative feature spot map establishing module; wherein the relative feature spot map establishing module is configured for transmitting the one or more relative feature spot maps to an absolute coordinates determining module configured for determining absolute coordinates of the mobile device; wherein the absolute coordinates determining module is configured for determining the absolute coordinates of the position of the mobile device by determining to which absolute feature spot map of the absolute feature spot maps the one or more relative feature spot map correspond.

A ranging-type positioning system and a ranging-type positioning method based on crowdsourced calibration are provided. In a crowdsourcing stage, pedestrian dead reckoning (PDR) is performed based on readings of inertial measurement units on a mobile device, a particle filter (PF) is executed to reconstruct a path of the mobile device with map information of the target field, and FTM data records are collected. Then, a ranging model based on a neural network can be used to calibrate and inversely infer approximate locations of unknown base stations. The optimized ranging model can estimate estimated distances and standard deviations based on the FTM data records obtained in the crowdsourcing stage. In a positioning stage, a position of a to-be-positioned mobile device can be positioned by having the ranging model operated in cooperation with the PDR and the PF.

An electronic device according to various embodiments may include a communication interface configured to be electrically connected to at least one communication device establishing a communication channel with a mobile terminal and a processor, wherein the processor may be configured to identify a plurality of communication channels for performing data exchange through a plurality of wireless communications supported by the mobile terminal, identify one of a capacity of the plurality of communication channels or a precision of the plurality of communication channels, and determine a communication channel to be used for determining a location of the mobile terminal, based on an identification result. The plurality of communication channels may include at least two channels for performing data exchange through different types of wireless communication.

There is described an upstream device for translating clock domain for non-synchronized sensors comprising a communication component, a memory component, and a processor. The communication component detects a report received from a sensor that includes a beacon receive time in a sensor clock domain and a current report transmit time in the sensor clock domain. The memory component provides a previous report receive time in the aggregator clock domain and a previous report transmit time in the sensor clock domain. The processor identifies a current report receive time in an aggregator clock domain based on the report detected by the communication component. The processor also determines a beacon receive time in the aggregator clock domain based, at least in part, on the beacon receive time in the sensor clock domain, the current report transmit time, the current report receive time, the previous report receive time, the previous report transmit time.

Provided herein are methods and systems for generating a model, mapping a monitored space, and used for augmenting the location and paths of devices path in the monitored space, using orientation and obstruction analysis. The disclosure comprises moving a device having a camera and one or more wireless transceiver through the monitored space, exchanging signal transmissions with one or more wireless transceivers present in the monitored space, and taking images, video sequences, or other optical readings. Either the mobile wireless device, the wireless transceivers, or both may have a non-isotropic transmission and reception characteristics, due to antenna structure, occlusions, other objects with radiation impact and/or the like. The images, videos, and/or optical readings, in addition to the received signal characteristics are stored and processed to generate the model, which one or more verification units, configured to verify the location objects or devices in the monitored space, may use.

Disclosed are indoor positioning methods, apparatuses, electronic device and computer readable storage medium. The indoor positioning method includes: obtaining state data of a mobile terminal; based on a pre-trained position classification model, determining a position classification of the mobile terminal according to the state data of the mobile terminal; when the position classification of the mobile terminal is an anchor point position, taking the mobile terminal as a beacon terminal and sending an anchor point position broadcast instruction to the beacon terminal to enable the beacon terminal to broadcast the anchor point position. In the technical solution, a mobile terminal meeting anchor point requirements is taken as a beacon terminal to provide convenient positioning services, so as to avoid deployment and maintenance of a large number of beacons, hardware of routers, and related mapping relationship, thus greatly reducing investment costs and facilitating promotion of use.

A robotic system is disclosed that uses autonomous tunnel navigation. The system includes a plurality of sensors (e.g., ranging, odometry) to measure a distance from the robotic system to a plurality of walls. Memory stores instructions and a processor is coupled to the memory and the plurality of sensors to execute the instructions. The instructions cause the robotic system to detect movement of the robotic system through a surrounding environment based on sensor measurements, determine if the robotic system is in a tunnel based on the sensor measurements, and navigate with the odometry-based sensor when the robotic system is determined to be in the tunnel or the ranging sensor when the robotic system is determined to be not in the tunnel.