The Boeing Company

Vladimir Karakusevic

James J Troy

Christopher Esposito

Michael Patrick Sciarra

Nikoli Prazak

William Eric Ward

John Carney Gass

Steven Malarkey

Robert Brandt

James E Fadenrecht

William D Mcgarry

Nikoli E Prazak

A multi-configuration massive model system. The system comprises a processor unit and a comparator configured to run on the processor unit, a memory, and a configuration manager. The comparator compares sets of parts for two or more configurations of a vehicle to form a list comprising a group of common parts and a group of unique parts. The memory is configured to store a massive model dataset of the configurations of the vehicle with a list of the group of common parts and the group of unique parts for the configurations of the vehicle. The configuration manager, configured to run on the processor unit, receives input of a selected configuration and performs an action relating to the vehicle using the massive model dataset for the selected configuration of the vehicle with the list of the group of common parts and the groups of unique parts stored in the memory.

Multi-configuration massive model system

Apparatus and methods for displaying a three-dimensional model image of a portion of a target object. An imaging device is equipped with an inertial measurement unit (IMU) and a processor configured to execute a three-dimensional (3-D) visualization application. The IMU is used to track movement of the imaging device relative to a known initial location in a frame of reference of the target object. Imaging device position offsets are computed using relative position and orientation information acquired by a dead-reckoning process. The processor is configured to execute an algorithm that combines orientation data from the IMU with walking step information to produce a piecewise linear approximation for relative motion measurement. The resulting relative location data can then be used by the 3-D visualization application to provide an estimated 3-D viewpoint to display a 3-D model of a feature in the imaged area of interest.

Positioning enhancements to localization process for three-dimensional visualization

An apparatus includes a directional scanner configured to receive signals from at least three RFID tags at a plurality of orientations of the directional scanner. The apparatus includes a pose estimator configured to estimate a pose of a device that includes or is coupled to the directional scanner based on orientation data indicating orientations of the directional scanner associated with determined peak signal strengths associated with the at least three RFID tags.

Pose estimation using radio frequency identification (RFID) tags

Systems and methods for constructing and saving files containing computer-generated image data with associated virtual camera location data during 3-D visualization of an object (e.g., an aircraft). The process tags computer-generated images with virtual camera location and settings information selected by the user while navigating a 3-D visualization of an object. The virtual camera location data in the saved image file can be used later as a way to return the viewpoint to the virtual camera location in the 3-D environment from where the image was taken. For example, these tagged images can later be drag-and-dropped onto the display screen while the 3-D visualization application is running to activate the process of retrieving and displaying a previously selected image. Multiple images can be loaded and then used to determine the relative viewpoint offset between images.

Synthetic geotagging for computer-generated images

Methods for identifying parts of a target object (e.g., an airplane) using geotagged photographs captured on site by a hand-held imaging device. The geotagged photographs contain GPS location data and camera setting information. The embedded image metadata from two or more photographs is used to estimate the location (i.e., position and orientation) of the imaging device relative to the target object, which location is defined in the coordinate system of the target object. Once the coordinates of the area of interest on the target object are known, the part number and other information associated with the part can be determined when the imaging device viewpoint information is provided to a three-dimensional visualization environment that has access to three-dimensional models of the target object.

Methods for localization using geotagged photographs and three-dimensional visualization

A method for electronically pairing a plurality of control units with a plurality of objects in an aircraft is provided. The method includes identifying a selected control unit from the plurality of control units that will control a selected object from the plurality of objects, placing a hand-held scanner in close proximity to a first machine-readable tag on the selected control unit to acquire a first unique ID for only the selected control unit, placing the hand-held scanner in close proximity to a second machine-readable tag on the selected object to acquire a second unique ID for only the selected object, and associating the first unique ID with the second unique ID to pair the selected control unit with the selected object.

Systems and methods for electronically pairing devices

A system is provided that includes a scanner movable relative to seat units and controllable devices each having RFID tags, the scanner configured to obtain a continuum of received signals, a distance sensor configured to determine a relative position of the scanner, a filter configured to disregard outliers and smooth the continuum into respective sets of received signal data, wherein each set of received signal data includes data points having a unique ID and a received signal strength, and wherein a relative time and a relative position are determined for each data point, and a processor configured to determine a relative location of each RFID tag, based on the relative position associated with maximum received signal strength within the set of received signal data, and generate a data file including pairings of seat units and associated controllable devices based on similar relative positions of RFID tags.

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Kirkland, WA, United States of America

Vladimir Karakusevic