Location of objects within an identified subspace defined within a predefined master space. The system includes an RF beacon associated with an object, the RF beacon transmitting signals to one or more of RF tags transmitting to an object location system a tag data package including an identification of the signals received by the RF tags from the RF beacon. The system includes a gateway receiving and extracting, from the transmitted tag data package, the identification of signals. The system further includes the location engine accessing an ML model trained by performing a survey of RF signals received from a plurality of RF signal sources during a prior RF master space survey operation and determining a subspace identifier corresponding to a predicted subspace location for the object by comparing the identification of signals included in the received tag data package to a model plurality of signals accessed from the model.

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.

Described techniques receive location data with associated timestamps from one or more location sensors spatially associated with the vehicle. Each pair of consecutive location data defines a segment of the vehicle's trajectory. The system aggregates potential stay periods of consecutive segments into an aggregated stay interval as long as a predefined segment clustering rule is fulfilled by the consecutive segments. A potential stay of the vehicle with a potential stay period for a respective segment is detected if the time interval associated with the respective segment is longer than an expected driving time needed for driving a distance associated with the respective segment at a predefined expected speed. The potential stay period is computed for the respective segment as the difference between the associated time interval and the expected driving time. The system detects a stay of the vehicle if the aggregated stay interval reaches a predefined minimum stay period.

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.

A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

Devices in a positioning system are described. In an example, a first device in the positioning system is configured to detect whether the first device is moving or stationary. The first device periodically send a first signal to a second device in the positioning system as long as the first device is not stationary, the first signal comprising at least a localization enabling information. When detecting that the first device is stationary the first device is further configured to send a second signal to the second device, the second signal indicating that the first device is stationary, and to stop sending the first signal.

A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

A vehicle positioning method includes obtaining satellite filtering parameters and satellite data, the satellite data comprising at least one of (i) a pseudo range observation value or (ii) a Doppler observation value indicating a Doppler effect. The method further includes determining a first parameter correction amount corresponding to the vehicle at a first time point to obtain positioning information of the vehicle at the first time point. The method further includes determining a second parameter correction amount corresponding to the vehicle at the second time point according to a constraint matrix corresponding to the motion state of the vehicle, and obtaining positioning information of the vehicle at the second time point by modifying the positioning information at the first time point using the second parameter correction amount.

A method of and device for reducing energy consumption of a motion sensing device by reducing or avoid using function of device's internal GPS system when a predetermined condition is senses. The predetermined condition includes a predetermined state of motion or no-motion sensed. The motion sensing device includes Personal Emergency Response Systems.

A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.