Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile GNSS device to compensate for arm swing. An example of an method for compensating for arm swing according to the disclosure includes determining an arm swing signal, such that the arm swing signal is approximately sinusoidal with a period of approximately T seconds, determining a position signal measurement period, receiving a plurality of positioning signals at intervals corresponding to the position signal measurement period, and determining current position information based on the plurality of positioning signals.

Abstract: Methods, devices, systems, and non-transitory process-readable storage media for a computing device of an autonomous vehicle to generate real-time mappings of nearby vehicles. An embodiment method executed by a computing device may include operations for obtaining origin point coordinates via a first satellite-based navigation functionality, obtaining termination point coordinates via a second satellite-based navigation functionality, calculating a unit vector based on the obtained origin point coordinates and the obtained termination point coordinates, identifying a position, a direction, and an occupancy of the autonomous vehicle based on the obtained origin point coordinates, the calculated unit vector, and stored vehicle dimensions data (e.g., length, width, height), and transmitting a message using DSRC with the origin point coordinates, the stored vehicle dimensions data, and data for identifying the vehicle's direction.

Abstract: Methods and apparatus for accelerometer autocalibration in a mobile device are provided. In an example, a signal is received from the accelerometer. A substantially constant state of the signal, such as that caused by a freefall of the accelerometer, is detected. When the signal remains in the substantially constant state for at least a predetermined period of time, the signal's noise level is measured. A compensating signal based upon the measured noise level is determined and can be output to the accelerometer, thus compensating the accelerometer to mitigate the noise level. In examples, the compensating signal can be a reference voltage, a reference frequency, and/or a reference pulse train. In a further example, the compensating is performed only when the noise level of the signal is within a range for at least the predetermined period of time.

Abstract: The subject matter disclosed herein relates to a system and method for detecting a movement pattern of a mobile device based at least in part on one or more signals representative of one or more sensor measurements, and for determining whether the movement pattern corresponds to a predefined level of movement of the mobile device.

Abstract: The subject matter disclosed herein relates to a system and method for receiving a plurality of signals generated by a plurality of sensors adapted to detect physical movement of a mobile device with respect to a plurality of coordinate axes. A time at which at least one of the received signals is digitized is delayed to provide an output of digitized versions of the received plurality of signals synchronized with respect to a common point in time.

Abstract: The disclosure generally relates to determining position of a motorized vehicle using wireless techniques. Methods, apparatus and systems are disclosed. A method can include: receiving absolute positioning data; receiving, from a mobile device, at least one of gyroscope data and odometry data; receiving, from a vehicle, at least one of gyroscope data and odometry data; initializing at least a heading to determine a relative path, wherein the relative path is based at least in part on the received data from the mobile device and the vehicle, wherein the received data comprises gyroscope data and odometry data; and shifting the relative path to an estimated path, wherein the estimated path is based at least in part on the absolute positioning data.

Abstract: A device for sensing a phenomenon using a dynamic measurement range includes: a sensing element configured to measure the phenomenon using a first measurement range and to provide an analog indication of a value of the phenomenon; an analog-to-digital converter (ADC) coupled to the sensing element and configured to convert the analog indication to a digital indication; and a processor coupled to the ADC and the sensing element and configured to analyze the digital indication to determine a second measurement range for the sensing element and to cause the sensing element to change from the first measurement range to the second measurement range for measurement of the phenomenon, the first measurement range being different than the second measurement range.

Abstract: Systems and methods for constraining growth in position uncertainty of a mobile device are based on determination that the mobile device is in a pedestrian mode. Determination of the pedestrian mode is based on detection of steps by a pedometer, speed of motion of the mobile device, turn rate determination by a gyroscope, charging condition of the mobile device, availability of satellite signals, etc. Step counts and/or turn rate information are used to ascertain the distance that a pedestrian user may have traversed from a last known position, based on which growth of position uncertainty is controlled.

Abstract: The disclosure is related to managing power consumption of a user equipment (UE) while providing location services. An aspect determines whether a given sensor configuration of a plurality of sensor configurations minimizes power consumption of the UE, wherein a sensor configuration comprises a set of values for a set of one or more sensor parameters controllable by the UE, and, based upon the determining, sets the set of one or more sensor parameters to the given sensor configuration.

Abstract: Methods and apparatus for detecting, measuring, and/or mitigating effects of moving an inertial navigation device's cradle are provided. In an example, provided are methods and apparatus to mitigate cradle rotation-induced inertial navigation errors. In an example, a method for mitigating an inertial navigation error includes receiving inertial sensor data and processing the inertial sensor data with a first navigation algorithm having a non-holonomic constraint (NHC). A second navigation algorithm, lacking a NHC, also processes the inertial sensor data simultaneously with the first algorithm. A cradle rotation is detected by the second navigation algorithm. A first navigation algorithm result, produced from the inertial sensor data generated during the cradle rotation, is discarded. The first algorithm can be computationally realigned, based on a second navigation algorithm result produced from the inertial sensor data generated during the cradle rotation.

Abstract: The subject matter disclosed herein relates to determining and/or predicting a navigation solution.

Abstract: Systems and methods are described for computing device motion direction and orientation.

Abstract: The disclosure generally relates to calculating gyroscope bias in a vehicle. Methods, apparatus and systems are disclosed. A method can include: assuming a maximum turning rate for a vehicle based at least in part on speed of the vehicle; and determining gyroscope bias information based at least in part on the assumed maximum turning rate.

Abstract: Methods, apparatuses, and devices for generating one or more harsh or diminished radiofrequency environments relative to a planned route of a mobile device user. In one example, a mobile device user a be routed through a harsh or diminished radiofrequency environment based, at least in part, on a sensor suite of a mobile device and/or based on a user's preferences. Prior to entry into such an environment, various sensors may be activated in a manner that permits position estimation in an absence of SPS based positioning signals and/or TPS based positioning signals.

Abstract: The disclosure relates to estimating an initial position and navigation state associated with a vehicle using odometry and/or other data obtained from the vehicle to support dead reckoning at start-up. In particular, a last known position and last known heading at a first odometer value associated with the vehicle may be stored and compared to a current odometer value after linking a mobile device with the vehicle. The last known position and last known heading may be used to estimate the initial position and navigation state associated with the vehicle based on a difference between the compared odometer values. For example, the estimated initial position and/or navigation state may substantially correspond to the last known position and last known heading if the difference between the odometer values indicates no change, or a non-zero difference may define a radius to limit an estimated error associated with the initial position estimate.

Abstract: Described are a system, method and apparatus for computing a navigation solution. In a particular implementation, a direction of travel (DOT) indicator or vector may be applied to augment computation of the navigation solution. The DOT indicator or vector may be selectively applied in the computation of the navigation solution based, at least in part, on an assessment of reliability of the DOT indicator or vector.

Abstract: The disclosure is related to managing power consumption of a user equipment (UE) while providing location services. An aspect determines whether a given sensor configuration of a plurality of sensor configurations minimizes power consumption of the UE, wherein a sensor configuration comprises a set of values for a set of one or more sensor parameters controllable by the UE, and, based upon the determining, sets the set of one or more sensor parameters to the given sensor configuration.

Abstract: Techniques are provided which may be implemented within a mobile device for determining a likely motion state of the mobile device. In an example, a mobile device may obtain sets of measurement signals from an inertial sensor, determine corresponding measures of variation for each of the sets of measurement signals, determine flatness indications corresponding to sets of the measures of variation, determine a motion state threshold level based, at least in part, on one or more flatness indications; and determine a likely motion state of the mobile device based, at least in part, on the motion state threshold level and one or more of: (i) a subsequently determined measure of variation, and/or (ii) a subsequently determined flatness indication.

Abstract: Systems and methods for constraining growth in position uncertainty of a mobile device are based on determination that the mobile device is in a pedestrian mode. Determination of the pedestrian mode is based on detection of steps by a pedometer, speed of motion of the mobile device, turn rate determination by a gyroscope, charging condition of the mobile device, availability of satellite signals, etc. Step counts and/or turn rate information are used to ascertain the distance that a pedestrian user may have traversed from a last known position, based on which growth of position uncertainty is controlled.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, to facilitate or support one or more operations or techniques for pre-processing inertial sensor measurements for navigation for use in or with a mobile communication device.