Systems and methods for locating tagged objects in remote regions are presented herein, in one embodiment, a method of locating tagged objects in remote regions includes creating a signal strength probability density map by. The method also includes transmitting first packets of data from at least one first tag to a plurality of stations and determining, by a plurality of stations, received signal strength indicator (RSSI) for received first packets of data. The method also includes transmitting, by the plurality of stations, the RSSI to an uplink node; and transmitting, by the uplink node, the RSSI to a database. The method further includes determining, by the database, the signal strength probability density map representative of probabilistic locations of the at least one first tag; and transmitting second packets of data from a second tag to the plurality of stations. Based on the signal strength probability density map and the second packets of data from the second tag, a location of the second tag is determined.

Various techniques are provided for counting and/or tracking objects within a field of view of an imaging system, while excluding certain objects from the results. A monitoring system may count or track people identified in captured images while utilizing an employee identification system including a wireless signal receiver to identify and remove the employees from the result. The system includes algorithms for separating employee counts from customer counts, thereby offering enhanced tracking analytics.

Systems and methods of radio frequency data mapping are provided. An exemplary method includes moving a mobile mapping system through the environment, the mobile mapping system comprising a location detection element and a radio frequency (RF) instrument which receives data from an antenna of the mobile mapping system; collecting data from the RF instrument at one or more collection locations within the environment, the collected data including received signal strength indicator (RSSI) data; mapping the collected data at least in part based on data received from the location detection element and the RF instrument to form an RF fingerprint of the environment; and using the mapped data to confirm an anticipated environmental RF fingerprint associated with the environment, adjust one or more RF components associated with the environment, or both.

Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.

An indoor positioning method based on image visual features. A Wi-Fi signal strength value of a Wi-Fi tag closest to a current location of a mobile device is matched with a signal strength list in a map database to obtain a first location of a first Wi-Fi tag with the greatest matching degree. A SURF descriptor of an image of the Wi-Fi tag closest to the current location of the mobile device is matched with SURF descriptors recorded in the signal strength list in the map database to discover an image of a Wi-Fi tag with the greatest matching degree, thereby obtaining a second location of a second Wi-Fi tag corresponding to the image of the Wi-Fi tag with the greatest matching degree. A three location of a three Wi-Fi tag is obtained according to a homography matrix corresponding to the image of the Wi-Fi tag with the largest matching degree and an empirical value of a positioning error. Positioning information of the mobile device is obtained according to the first location, the second location and the third location.

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.

An embodiment includes at least one computer readable storage medium comprising instructions that when executed enable a system to: receive (a)(i) first radio signal location data for a first object from a radio sensor; and (a)(ii) first visual signal location data for the first object from a camera sensor; perform feature extraction on (b)(i) the first radio signal location data to determine first extracted radio signal features; and (b)(ii) the first visual signal location data to determine first extracted visual signal features; solve a first association problem between the first extracted radio signal features and the first extracted visual signal features to determine first fused location data; and store the first fused location data in the at least one computer readable storage medium. Other embodiments are described herein.

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.

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. The coarse estimates are used to generate instantaneous estimates of measurement bias and bias uncertainty. As needed, the location engine adjusts the instantaneous estimate of bias uncertainty, in order to reflect an instantaneous estimate of measurement bias that is recognized as being in error. The adjustment is based on what is expected as a probable measurement bias value for the particular wireless terminal. Once the location engine generates the enhanced estimate of measurement bias, it can generate improved estimates of elevation of the wireless terminal.

The present disclosure generally pertains to systems and methods for autonomously detecting and correcting anomalies in position information provided to aircraft using radio-frequency signals. By enabling autonomously detecting and correcting for anomalies in the operation of a ground-based solution entirely independent of GPS, systems of the present disclosure can make the provided position information more accurate and robust, thereby enhancing the effectiveness and safety of navigation systems using the provided position information. More precisely, systems of the present disclosure may employ a series of ground-based beacon transmitters to provide radio-frequency (RF) signal pulse with a highly regular frequency. A locating receiver can detect the arrival times of these pulses and use this information to detect and report certain anomalies. These reports may then be used to autonomously correct the detected anomalies.