A solution for providing user equipment (UE) location information during an emergency call (e.g., an E911 call) includes: detecting an emergency call originating from the UE; determining a location of the UE; based on at least detecting the emergency call originating from the UE, transmitting the location of the UE across a cellular network to an emergency monitoring node (e.g., a public safety answering points (PSAP) and/or a gateway mobile location center (GMLC)); and based on at least detecting the emergency call originating from the UE, transmitting the location of the UE across a packet data network (e.g., the internet, using a data plan) to the emergency monitoring node. This provides an alternate path for the location information, and some examples use a larger set of location information sources. In some examples, during the emergency call, based on available battery power, the UE location information may be updated.

A position and orientation determining system includes a first radio frequency (RF) device including at least one antenna configured to receive and transmit RF signals, a first radio unit in communication with the at least one antenna, and an inertial measurement unit (IMU). The system further includes a second RF device includes a constellation of antennae including at least three receiving antennae, a second radio unit in communication with the constellation of antennae, and a processor configured to determine a three-dimensional position and three-axis angular orientation of the first RF device relative to the second RF device based on computing at least two of three angles in the second RF device coordinate frame (XY, XZ and YZ) computed from carrier phase difference (CPD) measurements taken between each pair of the at least three receiving antennae when receiving a single RF signal transmitted from the at least one antenna of the first RF device, and estimating a direction of a gravity vector generated by the IMU.

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 method for indoor positioning, depending upon an embodiment of the present invention, comprises the steps of: setting node data including information regarding the location of a positioning sensor on a movement path of a moving object with respect to an indoor space; obtaining first positioning data capable of determining a first section in which the moving object is currently located, by using at least one of the node data, first sensing data obtained through a sensor unit provided in the moving object, and second sensing data obtained through the positioning sensor; determining whether the first positioning data satisfies a preset reference value for a boundary node defining the first section; and determining subsequent positioning data of the first positioning data on the basis of at least one of the node data, information indicating whether the reference value is satisfied, and information indicating whether the boundary node rotates.

A location position system can include a plurality of beacons arranged a grid formation divided into a plurality of sub-grids. A mobile computing device can implement a location position application and can receive a radio signal from a particular beacon of the plurality of beacons. The radio signal can comprise a data component uniquely identifying the particular beacon, which can be used to identify a particular sub-grid of the plurality of sub-grids. An audio signal can be received from each of a set of sub-grid beacons associated with the particular sub-grid. Each audio signal can: (i) have a frequency in the frequency range of 16 kHz to 24 kHz and a transmission delay from a reference time, (ii) lack any additional identifying data, and (iii) be separately transmitted from the radio signal transmitted by the particular beacon. The mobile computing device can determine its position based on the received audio signals.

This provides methods and systems for the global navigation satellite system (GNSS) combined with the dead-reckoning (DR) technique, which is expected to provide a vehicle positioning solution, but it may contain an unacceptable amount of error due to multiple causes, e.g., atmospheric effects, clock timing, and multipath effect. Particularly, the multipath effect is a major issue in the urban canyons. This invention overcomes these and other issues in the DR solution by a geofencing framework based on road geometry information and multiple supplemental kinematic filters. It guarantees a road-level accuracy and enables certain V2X applications which does not require sub-meter accuracy, e.g., signal phase timing, intersection movement assist, curve speed warning, reduced speed zone warning, and red-light violation warning. Automated vehicle is another use case. This is used for autonomous cars and vehicle safety, shown with various examples/variations.

An apparatus for a vehicle includes processing circuitry configured to obtain identification information on a future passenger of the vehicle, the identification information comprising an ultra-wideband communication identification of a mobile device of the future passenger. The processing circuitry is also configured to locate the future passenger outside the vehicle using ultra-wideband communication, the ultra-wideband communication being performed between an ultra-wideband transceiver of the vehicle and the mobile device of the future passenger and being based on the ultra-wideband communication identification of the mobile device. The processing circuitry is further configured to compute guidance information based on the location of the future passenger of the vehicle, and provide the guidance information via an interface.

Methods for geolocation utilizing electronic distance measurement equipment. The methods select a small subset of available data that is most trustworthy, and then mathematically treats the subset of data (preferably bilateration or trilateration) to compute one or more new measured position candidates. One measured position candidate may be chosen among the measure position candidates based on confidence metrics, relative position geometry, and the comparison with history-based predicted position and its respective confidence metric. In a case where no measured position candidates of sufficient confidence are available, the predicted position is taken as the new position.

Methods and systems for determining a device position include determining a first position estimate using radio-based range information. A second position estimate is determined using visual odometry information. The first position estimate and the second position estimate are fused based on radio environmental conditions and visual environmental conditions to determine a final position estimate. Resources are deployed based on the final position estimate.

Described herein are methods and systems for locating lightning activity. A server computing device receives, from a satellite that detects lightning activity occurring in a geographic region, location coordinates and time data associated with lightning activity detected by the satellite. The server captures, from at least one of one or more ground-based lightning sensors that detect lightning activity, lightning feature data for lightning activity detected by the at least one of one or more ground-based lightning sensors. The server computing device determines a location of the lightning activity within the geographic region using the lightning feature data and the location coordinates and time data. The server computing device transmits the determined location of the lightning activity to one or more remote computing devices.