A method for locating positions of electronic devices is provided. The method includes receiving, by a master electronic device, movement information of the electronic devices, and setting the electronic devices to a first reference device, a second reference device, or a normal electronic device, based on the movement information, calculating, by the first reference device, a distance between the first reference device and the second reference device and a distance between the first reference device and the normal electronic device, calculating, by the second reference device, a distance between the second reference device and the normal electronic device, and transmitting the calculated distance information to the first reference device, and calculating, by the first reference device, a position of the normal electronic device by a triangulation method, based on the distances among the first reference device, the second reference device, and the normal electronic device.

Systems and methods are provided for detecting a mobility mode of a mobile device. The method, in response to receiving an observation decision, comprises finding (e.g., recursively) the most probable mobility mode state of the wireless mobile device using a dynamic programming algorithm based on a Hidden Markov Model that comprises: calculating the probability for the observation by the knowledge of the observation and probability of the previous state using the transition probability and multiplying by the emission probability of observation for the state, obtaining the maximum probability for the detected mobility mode states, determining a mobility mode state with the maximum probability, and storing the mobility mode state data of the wireless mobile device in a given FIFO queue of the one or more FIFO queues. The method future comprises controlling the output of the position data by acquiring the satellite navigation data on an interval basis.

Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. The method also includes performing front-back detection, performing stationary node detection, performing angle of arrival (AoA) error correction, and performing field of view (FOV) filtering. Performing indoor localization and tracking of the plurality of other wireless electronic devices includes providing an indication of a physical location of the plurality of other wireless electronic devices within the indoor environment.

Devices, systems, and methods of navigation in tracks and trails. A system includes a smartphone or other portable electronic device. The system generates and provides navigation data and mapping data to travelers, particularly in walking trails; and generates a video clip or other multimedia presentation that incorporates trip data, images, audio, and a reconstructed map of the route. An administrator or operator of a nature center or an attraction or other venue, operates the system to obtain real-time information about travelers within the venue, and to selectively provide data and messages to some or all of such travelers.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

A positioning device includes a processor configured to calculate a first neighboring time at which the mobile device becomes closest to a first base station in the plurality of base stations based on the received signal strength data and a second neighboring time at which the mobile device becomes closest to a second base station of the plurality of base stations, and convert the relative movement data in the second storage device into position coordinates data specifying an absolute position of the mobile device in an absolute coordinate system using the first base station as a reference point from the first neighboring time to the second neighboring time.

Disclosed is method of computing a round trip delay between a pair of nodes, the method comprising transmitting at least one beacon at a known transmit time from each of the nodes; measuring the times-of-arrival of the beacons at other of the nodes; and estimating a round trip delay between the nodes from the measured times-of-arrival and the transmit times; and correcting the round trip delay for either or both of a frequency offset between the nodes and relative motion between the nodes.

A system for providing real-time always-on location is presented for maintaining the current location of a mobile device, while saving the battery by managing the GPS in a power-saving mode while the device is considered to be stationary. The system also provides a real-time location in an indoor environment where a GPS signal may not be available. Additionally, methods for driving detection are also presented.

In one embodiment, an apparatus is presented that detects wireless signals from external devices that uniquely identify each of the external devices, records, in memory, information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

Estimating initial heading at start-up of navigation. At least some of the example embodiments are computer-implemented methods including: spawning a plurality of clone processes, each clone process given an identical location and speed, and each clone process given a unique direction; calculating, by each clone process, a respective position at the end of a frame period; terminating clone processes whose position at the end of the frame period is outside a predetermined threshold, the terminating results in remaining clone processes; and determining the heading of the mobile device from the remaining clone processes.