A method for reduced-outlier satellite positioning includes receiving a set of satellite positioning observations at a receiver; generating a first receiver position estimate; generating a set of posterior observation residual values from the set of satellite positioning observations and the first receiver position estimate; based on the set of posterior observation residual values, identifying a subset of the satellite positioning observations as statistical outliers; and after mitigating an effect of the statistical outliers, generating a second receiver position estimate having higher accuracy than the first receiver position estimate.

A cloud-offloaded GNSS (CO-GNSS) positioning method for locating a connected object. The signal received by the object is translated to an intermediate frequency before being sampled. The connected object acquires the satellites and estimates the code phases, which are transmitted to the server and then time-stamped. The server then determines a set of candidate points of a mesh network seeing the same set of satellites at the time-stamping instant of the packet, and then calculates for each candidate point and each possible transmission time the differences in pseudorange between the satellites and this point. It deduces from same a likelihood metric as a function of the difference between the differences in pseudorange corresponding to the code phases estimated for the object and those calculated for each candidate point. The candidate point maximising the likelihood metric provides a rough estimate of the position of the connected object.

A method of navigating with a global navigation satellite system (GNSS) includes receiving a GNSS signal, calculating a GNSS navigation solution according to the GNSS identifying map information corresponding to the GNSS navigation solution, detecting features from the identified map information, and correcting a GNSS navigation based on the features detected from the map information and the GNSS signal.

A method and apparatus are provided for calculating a position of a first device relative to a reference device for a current time. The method comprises obtaining first reference GNSS measurements, made at the reference device for a first time, obtaining the position of the reference device for the first time, obtaining first device GNSS measurements, made at the first device for the current time, and calculating a first relative position between the first device at the current time and the reference device at the first time. The method further comprises obtaining second reference GNSS measurements, made at the reference device for a second time subsequent to the first time, calculating a position change of the reference device from the first time to the second time, and calculating the second relative position between the first device at the current time and the reference device at the second time.

A customizable elastic band includes a means for coupling at least one secondary component thereto, the secondary component adapted to individualize the elastic band. In one aspect of the present invention, the elastic band includes a recess adapted to receive and hold the secondary component. In a further aspect of the present invention, the secondary component includes a printed message, a design, or a combination thereof. In a still further aspect of the present invention, the secondary component includes electronic circuitry. In a still further aspect of the present invention, the system including the elastic band and the secondary component are adapted to interact with a point of sale system.

Disclosed is an approach for automatic detection of entrance(s). In particular, processor(s) could have access to counter data arranged to maintain counters that each respectively represent a count of how many times GNSS service has been obtained or lost in a respective one of a plurality of sub-areas. Given this, the processor(s) could detect a GNSS state change corresponding to an instance of GNSS service being obtained or lost in a particular sub-area and could responsively increment the respective counter associated with the particular sub-area. In turn, the processor(s) could make a determination that the respective counter is representing a count that is greater than other count(s) represented by counter(s) associated with other sub-area(s). And based at least on this determination, the processor(s) could deem the particular sub-area to include an entrance, thereby resulting in detection of the entrance.

A time synchronization method that is capable of selecting whether synchronization, by a timepiece unit that generates a time signal synchronized with a standard time and outputs it to an exterior, with the time is performed by time information obtained by receiving a radio wave including information relating to the time, or is performed by means of a holdover performed using a clock signal from an internal or external clock source. A schedule having a first time period in which the above-mentioned time information is used, and a second time period by means of the holdover is determined according to temporal reception characteristics of the radio wave at a reception location of the radio wave, and according to the schedule, supplying the timepiece unit with the time information or supplying the timepiece unit with the clock signal from the internal or external clock source.

A device implementing a system for estimating device location includes at least one processor configured to receive an estimated position based on a positioning system comprising a Global Navigation Satellite System (GNSS) satellite, and receive a set of parameters associated with the estimated position. The processor is further configured to apply the set of parameters and the estimated position to a machine learning model, the machine learning model having been trained based at least on a position of a receiving device relative to the GNSS satellite. The processor is further configured to provide the estimated position and an output of the machine learning model to a Kalman filter, and provide an estimated device location based on an output of the Kalman filter.

Systems and techniques for a physical access control systems with localization-based intent detection are described herein. In an example, an access control system may regulate access to an asset. The access control system is adapted to establish a first connection with a key-device. The access control system may be further adapted to receive a credential for a user over the first connection. The access control system may be further adapted to establish a second connection with the key-device. The access control system may be further adapted to determine an intent of the user to access the asset. The access control system may use location data derived from the second connection to determine the intent of the user. The access control system may be further adapted to provide the credential to an access controller, based on identifying an intent of the user to access the asset.

Method, mobile device, computer program product, and apparatus for optimizing sensor reporting are described. A mobile device can measure radio frequency (RF) signal characteristics while receiving data from one or more mobile device sensors. The mobile device may determine its relative displacement between RF signal measurements. The mobile device can send a representation of the RF signal characteristics and the displacement data to one or more servers. The representation displacement data may include one or more reliability characteristics and/or a displacement reliability rating. A server can obtain the displacement data and RF signal characteristics to determine positioning of wireless transmitters in an environment and build a positioning database.