Abstract: Aspects of embodiments pertain to a method for providing scene related information from a scene to a remote station. The method may comprise receiving, at the remote station, a data object in relation to at least one identified attribute of one or more physical objects located in an ROI of the scene acquired by at least one sensor. A priority level value (PLV) is associated with the data object. The method may further include generating, at the remote station, using local station data, a low-latency virtual representation of the scene for displaying, at the remote station, a scene representation comprising the low-latency scene representation and a visualization of the received data object. In addition, real-world scene data descriptive of real world ROI/Target information may be receive. A user may designate an ROI/Target of the data object visualization for displaying real world ROI/Target information relating to the designated ROI/Target.

Abstract: A system and method for generating a focused three-dimensional (3D) point cloud is disclosed. A respective 3D point cloud is generated based on returns of a respective sequence of energy pulses that is emitted towards one or more regions-of-interest (ROIs) within a field-of-view (FOV) during a respective scan of the FOV, the returns including one or more secondary returns from one or more points within the FOV. During an additional scan of the FOV, subsequent to the respective scan, an additional sequence of energy pulses is emitted to generate a focused 3D point cloud that includes additional information regarding one or more selected points of the points associated with the secondary returns relative to the respective 3D point cloud.

Abstract: Embodiments pertain to systems and methods for providing information related to a scene occurring in a region of interest (ROI), using a scene data collector, configured to receive scene source data, from one or more data sources, using at least one sensor, identify one or more physical objects located in the ROI, based on the received scene source data, determine one or more attributes of the identified physical objects, generate a data object, for at least one of the identified one or more physical objects, based on one or more attributes thereof, and transmit all data objects generated to at least one remote station (RS), located remotely from the ROI. Each RS may be configured to receive the transmitted one or more data objects, generate a virtual scene data, based on the received one or more data objects; and display the generated virtual scene data.

Abstract: A system for generating a three-dimensional (3D) map of part of a field-of-view (FOV) of at least one detector of an active 3D scanner, comprising: the active 3D scanner, comprising: a mechanism configured to scan the FOV; at least one energy emitting source configured to emit energy pulses; and the at least one detector; and processing circuitry configured to: obtain information, wherein at least some of designation information is tracker-based designation information that is designated by a user of the system via a tracker that tracks a line-of-sight between the user and the FOV; selectively activate the energy emitting source to emit a subset of the energy pulses, in accordance with the information, including the tracker-based designation information, and in synchronization with the mechanism, to cover the part of the FOV; obtain current readings, from the detector, based on reflections of the subset of the energy pulses; and generate the 3D map based on the current readings.

Abstract: A system for generating a three-dimensional (3D) map of part of a field-of-view (FOV) of at least one detector of an active 3D scanner, the system comprising: the active 3D scanner, comprising: a scanning mechanism configured to scan the FOV; at least one energy emitting source configured to emit energy pulses, in synchronization with the scanning mechanism, to cover the FOV; and the at least one detector: and processing circuitry configured to: obtain mapping designation information independent of past readings obtained by the at least one detector, if any; selectively activate the energy emitting source to emit only a subset of the energy pulses, in accordance with the mapping designation information, to cover the part of the FOV; obtain current readings, from the at least one detector, based on reflections of the subset of the energy pulses; and generate the 3D map based on the current readings.

Abstract: Aspects of embodiments pertain to a method for reducing a subjective visual artefact when displaying binocular overlapping images to a user of a binocular display system, the method comprising generating, by an image display unit comprising a plurality of pixels elements, right and left-eye source images; projecting the right and left-eye source images via corresponding left and right viewing optics to its user such that the user perceives partially overlapping left and right-hand observation images; reducing, a perception of a subjective visual artefact in the perceived right and/or left-hand observation images by modifying one or more pixel and/or image parameters values relating to the left and/or right-hand source images.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods for calibrating a body-worn magnetic sensor by spinning the magnetic sensor 360 degrees to capture magnetic data; if the spin failed to produce a circle contained in an x-y plane fit a sphere to the captured data; determining offsets based on the center of the sphere; and removing the offsets that are in the z-direction. Computing a magnetic heading reliability of a magnetic sensor by determining an orientation of the sensor at one location; transforming the orientation between two reference frames; measuring a first vector associated with the magnetic field of Earth at the location; processing the first vector to generate a virtual vector when a second location is detected; measuring a second vector associated with the magnetic field of Earth at the second location; and calculating the magnetic heading reliability at the second location based on a comparison of the virtual vector and the second vector.

Abstract: Methods for calibrating a body-worn magnetic sensor by spinning the magnetic sensor 360 degrees to capture magnetic data; if the spin failed to produce a circle contained in an x-y plane fit a sphere to the captured data; determining offsets based on the center of the sphere; and removing the offsets that are in the z-direction. Computing a magnetic heading reliability of a magnetic sensor by determining an orientation of the sensor at one location; transforming the orientation between two reference frames; measuring a first vector associated with the magnetic field of Earth at the location; processing the first vector to generate a virtual vector when a second location is detected; measuring a second vector associated with the magnetic field of Earth at the second location; and calculating the magnetic heading reliability at the second location based on a comparison of the virtual vector and the second vector.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: A method for computing a correction to a compass heading for a portable device worn or carried by a user is described. The method involves determining a heading for the device based on a compass reading, collecting data from one or more sensors, determining if the device is indoors or outdoors based on the collected data, and correcting the heading based on the determination of whether the device is indoors or outdoors.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

Abstract: A method for computing a correction to a compass heading for a portable device worn or carried by a user is described. The method involves determining a heading for the device based on a compass reading, collecting data from one or more sensors, determining if the device is indoors or outdoors based on the collected data, and correcting the heading based on the determination of whether the device is indoors or outdoors.

Abstract: A method for determining an environmental pressure change affecting a pressure sensor within a portable device to determine an elevation of the portable device is disclosed. The method involves estimating a location of the mobile device, estimating an atmospheric pressure associated with the mobile device at a server based on data indicative of atmospheric pressure received from the mobile device, and generating the elevation of the mobile device based on the atmospheric pressure associated with the mobile device and reference data indicative of an absolute elevation reference. The absolute elevation determined may be based on the estimated location of the mobile device and elevation data obtained from a reference map.

Abstract: Methods and systems are described for determining the elevation of tracked personnel or assets (trackees) that can take input from mounted sensors on each trackee (including barometric, inertial, magnetometer, radio frequency ranging and signal strength, light and GPS sensors), external constraints (including ranging constraints, feature constraints, and user corrections), and terrain elevation data. An example implementation of this method for determining elevation of persons on foot is described. But this method is not limited to computing elevation of personnel or to on foot movements.

Abstract: Methods for calibrating a body-worn magnetic sensor by spinning the magnetic sensor 360 degrees to capture magnetic data; if the spin failed to produce a circle contained in an x-y plane fit a sphere to the captured data; determining offsets based on the center of the sphere; and removing the offsets that are in the z-direction. Computing a magnetic heading reliability of a magnetic sensor by determining an orientation of the sensor at one location; transforming the orientation between two reference frames; measuring a first vector associated with the magnetic field of Earth at the location; processing the first vector to generate a virtual vector when a second location is detected; measuring a second vector associated with the magnetic field of Earth at the second location; and calculating the magnetic heading reliability at the second location based on a comparison of the virtual vector and the second vector.

Abstract: Methods for calibrating a body-worn magnetic sensor by spinning the magnetic sensor 360 degrees to capture magnetic data; if the spin failed to produce a circle contained in an x-y plane fit a sphere to the captured data; determining offsets based on the center of the sphere; and removing the offsets that are in the z-direction. Computing a magnetic heading reliability of a magnetic sensor by determining an orientation of the sensor at one location; transforming the orientation between two reference frames; measuring a first vector associated with the magnetic field of Earth at the location; processing the first vector to generate a virtual vector when a second location is detected; measuring a second vector associated with the magnetic field of Earth at the second location; and calculating the magnetic heading reliability at the second location based on a comparison of the virtual vector and the second vector.