Vladimir Karakusevic

20180321352, Nov 8, 2018

May 5, 2017

15/588489

- Chicago IL, US
Christopher Esposito - Issaquah WA, US
Vladimir Karakusevic - Kirkland WA, US

G01S 5/02

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.

20180300326, Oct 18, 2018

Apr 17, 2017

15/489045

- Chicago IL, US
William D. McGarry - Federal Way WA, US
Nikoli E. Prazak - Renton WA, US
Michael Patrick Sciarra - Seattle WA, US
Vladimir Karakusevic - Kirkland WA, US
John Carney Gass - Sammamish WA, US
William E. Ward - Boise IA, US

G06F 17/30
G06T 1/60
G06F 3/0482

A method and system for managing three-dimensional massive model visualization data sets. The method comprises compiling a vehicle list of vehicles for which the three-dimensional massive model visualization data sets are to be built. The method automatically builds the three-dimensional massive model visualization data sets for vehicles in the vehicle list using a computer system. The method stores the three-dimensional massive model visualization data sets in a group of repositories. The method distributes the three-dimensional massive model visualization data sets for displaying massive model visualizations for the vehicles using the three-dimensional massive model visualization data sets on client devices. The method may selectively update a three-dimensional massive model visualization data set in the three-dimensional massive model visualization data sets when the three-dimensional massive model visualization data set is out-of-date.

20180300446, Oct 18, 2018

Apr 17, 2017

15/488920

- Chicago IL, US
Michael Patrick Sciarra - Seattle WA, US
Nikoli E. Prazak - Renton WA, US
Steven E. Malarkey - Lynnwood WA, US
Vladimir Karakusevic - Kirkland WA, US
Robert Allan Brandt - Lake Stevens WA, US
James E. Fadenrecht - Everett WA, US

G06F 17/50
G06F 17/30

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.

20180025543, Jan 25, 2018

Jul 19, 2016

15/213727

- Chicago IL, US
Christopher D. Esposito - Issaquah WA, US
Vladimir Karakusevic - Kirkland WA, US

The Boeing Company - Chicago IL

G06T 19/00
G06T 17/00

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.

20170243399, Aug 24, 2017

Feb 19, 2016

15/047655

- Chicago IL, US
Vladimir Karakusevic - Kirkland WA, US
Christopher D. Esposito - Issaquah WA, US

The Boeing Company - Chicago IL

G06T 19/00
B64F 5/00
G01S 19/13
G06T 7/00
G06F 17/30

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.

20170032159, Feb 2, 2017

Jul 31, 2015

14/814647

- Huntington Beach CA, US
Christopher Esposito - Issaquah WA, US
Vladimir Karakusevic - Bellevue WA, US

G06K 7/10

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.

20160318625, Nov 3, 2016

Apr 29, 2015

14/699713

- Huntington Beach CA, US
Christopher Esposito - Bellevue WA, US
Vladimir Karakusevic - Bellevue WA, US

B64D 47/00
G06K 7/14
G06K 7/10

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.