Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: Devices and methods for providing an enhanced navigation solution are disclosed that involve detecting correction events along a trajectory of a device. Platform speed is estimated based on characteristics of the correction events, such as by estimating speed of turn during the turn of the platform so that a navigation solution is enhanced by correcting the trajectory of the platform using the estimated speed.

Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: Devices and methods for providing an enhanced navigation solution are disclosed that involve detecting correction events along a trajectory of a device. Platform speed is estimated based on characteristics of the correction events, such as by estimating speed of turn during the turn of the platform so that a navigation solution is enhanced by correcting the trajectory of the platform using the estimated speed.

Abstract: Systems and methods are disclosed for determining a navigational constraint for a portable device using an optical sensor. The navigational constraint may be used to supplement other navigational solutions or may be used independently. The optical sensor may capture a plurality of samples to be processed to determine the constraint. Determining the constraint may include any or all of determining a context for usage, distinguishing usage modes, estimating an orientation of the portable device, determining an absolute and/or relative elevation, determining a direction of motion and determining a speed of the portable device from the samples.

Abstract: The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device comprises a sensor assembly. The sensors in the device may be for example, accelerometers, gyroscopes, magnetometers, barometer among others. The sensors have a corresponding frame for the sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the sensor assembly in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).

Abstract: Systems and methods are disclosed for estimating speed and/or velocity for a portable device using an optical sensor. The optical sensor may capture a plurality of samples to be processed to estimate speed. The speed or velocity may be estimated based on a determined context and/or usage of the portable device. The estimated speed or velocity may be used to supplement other navigational solutions or may be used independently.

Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: An apparatus and method are disclosed for enhancing a navigation solution of a portable device and a platform. Motion sensor data may be obtained corresponding to motion of the portable device, such that a first filter may be configured to output a navigation solution and at least one second filter may be configured to use the motion sensor data to generate at least one value. The at least one generated value may then be used with the first filter to enhance the navigation solution output by the first filter.

Abstract: The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

Abstract: The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device includes an optical sensor or camera. The optical sensors have a corresponding frame for the optical sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the optical sensor assembly or camera in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).

Abstract: The present disclosure relates to a system and method for integrating online, dynamic wireless system modeling with a navigation solution. The building of wireless dynamic online models for wireless positioning does not require pre-existing information such as pre-surveys and is capable of providing relatively better accuracy. Integration of the wireless positioning using dynamic online models with other navigation systems/solutions is proposed whereby the other navigation system/solution can benefit and enhance the building of wireless dynamic online models. In addition, the wireless dynamic online models can be optimally integrated with the other navigation system/solution for enhanced positioning performance.

Abstract: The present disclosure relates to a method and apparatus for enhancing a navigation solution of a device within a platform (such as for example person, vehicle or vessel), wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the device can be tilted to any orientation including vertical or near vertical orientations, while still providing a seamless navigation solution. This method can enhance navigation solutions utilizing measurements from sensors (such as, for example, accelerometers, gyroscopes, magnetometers, etc.), whether in the presence or in the absence of absolute navigational information (such as, for example, GNSS or WiFi positioning).

Abstract: A navigation module and method for providing an INS/GNSS navigation solution for a device that can either be tethered or move freely within a moving platform is provided, comprising a receiver for receiving absolute navigational information from an external source (e.g., such as a satellite), an assembly of self-contained sensors capable of obtaining readings (e.g. such as relative or non-reference based navigational information) about the device, and further comprising at least one processor, coupled to receive the output information from the receiver and sensor assembly, and operative to integrate the output information to produce an enhanced navigation solution. The at least one processor may operate to provide a navigation solution by benefiting from nonlinear models and filters that do not suffer from approximation or linearization and which enhance the navigation solution of the device.

Abstract: A portable navigation module and its method of operation are disclosed for seamlessly providing navigation and positioning information to a user. The module comprises: means, such as a GPS receiver, for receiving a first set of navigational information from an external source, such as satellites; and an inertial sensor unit for generating a second set of navigational information at the module. The navigational information is used by a processor programmed with a core algorithm, to identify the mode of conveyance algorithm and an orientation or misalignment algorithm. The algorithm utilizes the navigational information, aided by the mode of conveyance information and the orientation information, to produce a filtered navigation solution (which comprises position, velocity and attitude). The solution is suitably displayed, preferably on a detachable display unit.

Abstract: Systems and methods are disclosed for estimating speed and/or velocity for a portable device using an optical sensor. The optical sensor may capture a plurality of samples to be processed to estimate speed. The speed or velocity may be estimated based on a determined context and/or usage of the portable device. The estimated speed or velocity may be used to supplement other navigational solutions or may be used independently.

Abstract: A moving platform INS range corrector (“MPIRC”) module and its method of operation for providing navigation and positioning information. The module comprises: means, such as a receiver, for receiving a first set of absolute navigational information from an external source (such as satellites in case of GNSS); an inertial sensor unit for generating a second set of navigational information at the module; and a transceiver, for receiving and/or transmitting signals and estimating distance measurement from a known position and receiving position coordinates. The navigational information is used by a processor programmed with a core algorithm, to produce a navigation solution (which comprises position, velocity and attitude). The system has the following attributes: the solution is produced seamlessly, even if one source of navigational information is temporarily out of service; the accuracy of the solution is assisted by use of distance and position coordinate measurement from a known position.

Abstract: The present disclosure relates to a system and method for integrating online, dynamic wireless system modeling with a navigation solution. The building of wireless dynamic online models for wireless positioning does not require pre-existing information such as pre-surveys and is capable of providing relatively better accuracy. Integration of the wireless positioning using dynamic online models with other navigation systems/solutions is proposed whereby the other navigation system/solution can benefit and enhance the building of wireless dynamic online models. In addition, the wireless dynamic online models can be optimally integrated with the other navigation system/solution for enhanced positioning performance.

Abstract: The present disclosure relates to a method and apparatus for determining the misalignment between a device and a pedestrian, wherein the pedestrian can carry, hold, or use the device in different orientations in a constrained or unconstrained manner, and wherein the device includes an optical sensor or camera. The optical sensors have a corresponding frame for the optical sensors' axes. The misalignment between the device and the pedestrian means the misalignment between the frame of the optical sensor assembly or camera in the device and the frame of the pedestrian. The present method and apparatus can work whether in the presence or in the absence of absolute navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).