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: In a method of maintenance of a location fingerprint database for an area, signal measurement data is collected together with motion sensor data from each of a plurality of portable devices transiting a portion of the area of the location fingerprint database. The motion sensor data is collected by a sensor assembly in each of the plurality of portable devices. Offline non-causal processing is used to process the collected motion sensor data into reference positions associated with the portion of the area. The collected signal measurement data is employed together with the reference positions to update the location fingerprint database.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data from a sensor assembly of the device is obtained, optical samples from at least one optical sensor for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for optical sensor data. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the optical sensor data directly by updating the nonlinear state estimation technique using the nonlinear measurement model and the map information. The integrated navigation solution is then provided.

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: Vehicle body tilt, representing a difference between a vehicle body frame of reference and a wheel-base frame of reference, is determined by obtaining information from sensor assemblies for the vehicle body and for the wheel-base. Navigational solutions are generated for the sensor assemblies using motion sensor data from the assemblies and absolute navigational information. Correspondingly, vehicle body tilt is determined based at least in part on the vehicle body navigation solution and the wheel-base navigation solution.

Abstract: Feedback for map information is based on an integrated navigation solution for a device within a moving platform using obtained motion sensor data from a sensor assembly of the device, obtained radar measurements for the platform and obtained map information for an environment encompassing the platform. An integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique that uses a nonlinear measurement model for radar measurements. The map information is assessed based at least in part on the integrated navigation solution and radar measurements so that feedback for the map information can be provided.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data is obtained from a sensor assembly of the device, radar measurements for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for radar measurements. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the radar measurements directly by updating the nonlinear state estimation technique using the nonlinear measurement models and the map information. The integrated navigation solution is then provided.

Abstract: Systems and methods are provided for establishing contact tracing for a group of users within a venue. Position information in the venue may be estimated for each user over a period of time based at least in part on data from a portable device associated with each user. At least one contact parameter may be established so that contact between at least two users of the group of users during the period of time may be determined based at least in part on the at least one contact parameter and the estimated position information.

Abstract: An integrated navigation solution is provided for a device within a moving platform. Motion sensor data from a sensor assembly of the device is obtained, optical samples from at least one optical sensor for the platform are obtained and map information for an environment encompassing the platform is obtained. Correspondingly, an integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique, wherein the nonlinear state estimation technique uses a nonlinear measurement model for optical sensor data. Generating the integrated navigation solution includes using the sensor data with the nonlinear state estimation technique and integrating the optical sensor data directly by updating the nonlinear state estimation technique using the nonlinear measurement model and the map information. The integrated navigation solution is then provided.

Abstract: An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.

Abstract: Anchor points associated with point of sale information may be ordered by segmenting a trajectory derived from sensor data defined by adjacent turns to generate candidate links for each segment from which possible paths for the trajectory are derived. Each derived possible path may be scored with a multi-objective function using a global optimization algorithm to select a solution path from the derived possible paths that may be used to order a plurality of anchor points.

Abstract: Anchor points associated with point of sale information may be ordered by deriving a trajectory for the portable device, associating known positions of the anchor points with a map encompassing the trajectory, characterizing turns of the trajectory, generating candidate paths by comparing the characterized turns to the map, selecting a solution path that corresponds to the anchor points and ordering the anchor points based at least in part on the solution path.

Abstract: Feedback for map information is based on an integrated navigation solution for a device within a moving platform using obtained motion sensor data from a sensor assembly of the device, obtained radar measurements for the platform and obtained map information for an environment encompassing the platform. An integrated navigation solution is generated based at least in part on the obtained motion sensor data using a nonlinear state estimation technique that uses a nonlinear measurement model for radar measurements. The map information is assessed based at least in part on the integrated navigation solution and radar measurements so that feedback for the map information can be provided.

Abstract: Systems and methods are disclosed for characterizing on foot motion of a user with a portable device by obtaining parameters sufficient to characterize the on foot motion of the user from multiple sensor assemblies. Each additional sensor assembly may be independent of each other. The characterization of on foot motion is provided by synthesizing the parameters from the sensor assemblies. Characterization of on foot motion may include detecting a step, estimating step length, or both.

Abstract: This disclosure relates to detecting non-meaningful motion with a portable device. In one aspect, a suitable method includes detecting motion with a portable device by obtaining inertial sensor data representing motion of the portable device, wherein the inertial sensor data includes accelerometer data and gyroscope data, processing the accelerometer data, processing the gyroscope data and identifying non-meaningful motion of the portable device based, at least in part, on the processed accelerometer data and the processed gyroscope data.

Abstract: Vehicle body tilt, representing a difference between a vehicle body frame of reference and a wheel-base frame of reference, is determined by obtaining information from sensor assemblies for the vehicle body and for the wheel-base. Navigational solutions are generated for the sensor assemblies using motion sensor data from the assemblies and absolute navigational information. Correspondingly, vehicle body tilt is determined based at least in part on the vehicle body navigation solution and the wheel-base navigation solution.

Abstract: In a method of maintenance of a location fingerprint database for an area, signal measurement data is collected together with motion sensor data from each of a plurality of portable devices transiting a portion of the area of the location fingerprint database. The motion sensor data is collected by a sensor assembly in each of the plurality of portable devices. Offline non-causal processing is used to process the collected motion sensor data into reference positions associated with the portion of the area. The collected signal measurement data is employed together with the reference positions to update the location fingerprint database.

Abstract: An apparatus and method are disclosed for user and moving vehicle detection in which sensor data for a portable device is processed to determine whether the portable device is in a moving vehicle. Following a determination the portable device is in a moving vehicle, the sensor data is to characterize an association between the user and the portable device to determine whether the portable device is connected to the user. If the user is connected to the portable device, it is then determined if the portable device is being held in hand. If the portable device is held in hand, it is then determined if the user is operating the moving vehicle. Output from an image sensor of the portable device may be used in determining if the user is the operator.

Abstract: Anchor points associated with point of sale information may be ordered by segmenting a trajectory derived from sensor data defined by adjacent turns to generate candidate links for each segment from which possible paths for the trajectory are derived. Each derived possible path may be scored with a multi-objective function using a global optimization algorithm to select a solution path from the derived possible paths that may be used to order a plurality of anchor points.