The present invention relates to a multimodal sensing positioning system orientated to a high-risk production environment, the positioning system comprising: at least one positioning terminal, configured to be worn by a to-be-positioned subject and use at least one positioning technique to conduct multimodal sensing positioning so as to identify a current location information of the subject in the high-risk production environment; and a monitoring terminal, communicating with the positioning terminal so as to remotely monitor the current location of the subject. The present invention improves positioning precision while ensuring realtimeness of multimodal positioning.

Calibrating an unstable sensor of a mobile device. Systems and methods for calibrating a sensor of a mobile device determine a first estimated position of the mobile device without using any measurement from the sensor of the mobile device, generate a second estimated position of the mobile device using a measurement from the sensor, estimate a sensor error of the sensor using the first estimated position and the second estimated position, and use the sensor error to determine a calibration value for adjusting one or more measurements from the sensor.

A location engine uses the empirical measurements made by a scouting wireless terminal (i) to discover the existence of a reference radio within a geographic region; (ii) to generate an estimate of the location of the newly-discovered reference radio, and (iii) to generate an estimate of the transmission power of the downlink control channel radio signal transmitted by the newly-discovered reference radio. The location engine then uses: (i) the estimate of the location of the newly-discovered reference radio, and (ii) the estimate of the transmission power of the downlink control channel radio signal transmitted by the newly-discovered reference radio, and (iii) measurements, made by a user wireless terminal, of the power of each of the downlink control channel radio signals transmitted by each of the reference radios to generate an estimate of the location of the user wireless terminal.

A computer implemented method (400) of determining a location of one or more transitions (5a-e) on a map and/or the time at which one or more transitions (5a-e) occurs, the one or more transitions (5a-e) made by a set of mobile computing devices (13a-c), from a first zone (2) to a second zone (4), the method (400) comprising: obtaining (402) trajectory data representing a plurality of trajectories (302 a, b) collected from one or more mobile computing devices (13 a-c), at least some of the trajectories (302 a, b) passing through the first zone (2) and/or the second zone (4); positioning (404) the trajectories (302 a, b) in a frame of reference defined relative to the map, wherein at least part of at least some of the trajectories (302 a, b) are positioned based on correspondence with other trajectories (302 a, b); and processing the plurality of trajectories (302 a, b) positioned in the frame of reference defined relative to the map to determine the location and/or time.

Calibrating a pressure sensor of a mobile device incudes determining an absolute calibration value used to calibrate pressure measurements by a pressure sensor of a mobile device; determining a first revisit zone as a first location to which the mobile device repeatedly returns; determining first and second calibrations for first and second visits to the first revisit zone; determining a first relative calibration adjustment value based on a difference between the first and second calibrations; determining an adjusted absolute calibration value based on a sum of the absolute calibration value and the first relative calibration adjustment value; and estimating an altitude of the mobile device based on a pressure measurement by the pressure sensor and the adjusted absolute calibration value.

Calibrating a pressure sensor of a mobile device incudes determining an absolute calibration value used to calibrate pressure measurements by a pressure sensor of a mobile device; determining a first revisit zone as a first location to which the mobile device repeatedly returns; determining first and second calibrations for first and second visits to the first revisit zone; determining a first relative calibration adjustment value based on a difference between the first and second calibrations; determining an adjusted absolute calibration value based on a sum of the absolute calibration value and the first relative calibration adjustment value; and estimating an altitude of the mobile device based on a pressure measurement by the pressure sensor and the adjusted absolute calibration value.

Disclosed are techniques for handling of radio frequency front-end group delays (GDs) for round trip time (RTT) estimation. In an aspect, a network entity determines information indicating a network total GD and a user equipment (UE) determines information indicating a UE total GD. The network entity transmits one or more RTT measurement (RTTM) signals to the UE, each including a RTTM waveform. The UE determines one or more one or more RTT response (RTTR) payloads for one or more RTTR signals, each including a RTTR waveform. The UE transmits the RTTR signal(s) to the network entity. For each RTTR signal, a transmission time of the RTTR waveform and/or the RTTR payload is/are determined based on the UE total GD. The network entity determines a RTT between the UE and the network entity based on the RTTM signal(s), the RTTR signal(s), and the information indicating the network total GD.

This document describes a client-server approach for indoor-outdoor detection of an electronic device, and associated systems and methods. A server (104) collects crowdsourced information (140) from devices that detected a plurality of access points. An electronic device (102), performing a wire-less-network scan, detects access points (122) within range and detects sensor data (126) from other sensors (124). The electronic device (102) transmits such information to the server (104). The server accesses the crowdsourced information (140) to determine, per access point (122) detected in the scan, a percentage of total detections of the access point that are accompanied by a GPS signal of a device that detected the access point and an RSS value below which no such GPS signal accompanies the detections. The percentage and the RSS value enable a determination of a probability indicating whether the electronic device (102) is located outdoors, lightly indoors, or deep indoors, which enables the electronic device to trigger a corresponding function.

The present invention relates to a multimodal sensing positioning system orientated to a high-risk production environment, the positioning system comprising: at least one positioning terminal, configured to be worn by a to-be-positioned subject and use at least one positioning technique to conduct multimodal sensing positioning so as to identify a current location information of the subject in the high-risk production environment; and a monitoring terminal, communicating with the positioning terminal so as to remotely monitor the current location of the subject. The present invention improves positioning precision while ensuring realtimeness of multimodal positioning.

A localization device comprises: a wireless communication antenna; a satellite geospatial location module configured to determine a location of the localization device from signals received from geospatial location satellites; and a controller configured to: control the wireless communication antenna to scan wireless access points in a vicinity of the localization device and determine wireless network data corresponding to identified wireless access points; use the wireless network data to determine an environment type in which the localization device is located from an indoor environment in which signals cannot be received from geospatial location satellites and an outdoor environment in which signals can be received from geospatial location satellites; generate location indication data for the localization device, the location indication data depending on the environment type in which the localization device is located; control the wireless communication antenna to send the location indication data to a location database via one of the identified wireless access points; and cause the localization device to enter a sleep mode.