Charles C Whitmer, Age 771303 Delray Ct, Odenton, MD 21113

2019001, Jan 10, 2019

Sep 10, 2018

16/126640

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - San Jose CA, US
Nathan P. Myhrvold - Bellevue WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y.H. Wood - Livermore CA, US

G01S 19/49

A three-dimensional map of an environment with buildings is used to computationally predict locations and times of global navigation satellite system (GNSS) transmission quality. A global navigation satellite system (GNSS) receiver can reconcile received satellite transmissions with these predicted satellite transmissions. By comparing actual transmission quality with predicted transmission quality, a system can determine unmodeled obstructions, temporary obstructions, jamming, spoofing or other origins of interference with predicted transmission quality of a satellite in a GNSS.

2017000, Jan 5, 2017

Sep 19, 2016

15/269013

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - San Jose CA, US
Nathan P. Myhrvold - Medina WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y.H. Wood - Livermore CA, US

G06K 9/00
G01C 21/36
G06K 9/48
H04N 7/18
G06T 7/20
G06T 7/00

Described embodiments include a system and method. A computer-implemented method includes receiving electronic data indicative of at least two incremental movements of a vehicle moving over a stochastic surface during a period of time proximate to an event. The electronic data is responsive to a correlation vector between a feature of the stochastic surface in a first digital image captured at a first time by a first digital imaging device carried by the vehicle and the feature of the stochastic surface in a second digital image captured at a subsequent second time by a second digital imaging device carried by the vehicle. The method includes determining in response to the received electronic data a behavior of the vehicle during the period of time proximate to the event. The method includes electronically outputting data indicative of the determined behavior of the vehicle during the period of time proximate to the event.

2016028, Sep 29, 2016

Mar 24, 2015

14/667399

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - San Jose CA, US
Nathan P. Myhrvold - Bellevue WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y.H. Wood - Livermore CA, US

B64G 3/00
G01C 21/16
B64G 1/10
G01C 21/24

A three-dimensional map of an environment with buildings is used to computationally predict locations and times of global navigation satellite system (GNSS) blockages. For example, in urban environments some of the GNSS satellites are occluded by buildings. These blockages can be modeled. A computing system can make a map showing which satellites are or are not visible as a function both of location and time. The map can be used by a mobile GNSS receiver to determine which satellites to use or whether to use a backup system for navigation. The system can determine when a given satellite will enter or leave a GNSS receiver view during a route. The map can be stored in the GNSS receiver (or a host of the GNSS) or can be stored by a network service. This mapping can be used to predict multi-path effects of a satellite transmission at a location.

2016028, Sep 29, 2016

Mar 24, 2015

14/667402

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - San Jose CA, US
Nathan P. Myhrvold - Bellevue WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y.H. Wood - Livermore CA, US

G01S 19/08
G01S 19/12
G01S 19/42

A three-dimensional map of an environment with buildings is used to computationally predict locations and times of global navigation satellite system (GNSS) transmission quality. A global navigation satellite system (GNSS) receiver can reconcile received satellite transmissions with these predicted satellite transmissions. By comparing actual transmission quality with predicted transmission quality, a system can determine unmodeled obstructions, temporary obstructions, jamming, spoofing or other origins of interference with predicted transmission quality of a satellite in a GNSS.

2016022, Aug 4, 2016

Nov 13, 2013

14/078881

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - Seattle WA, US
Nathan P. Myhrvold - Medina WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y. H. Wood - Livermore CA, US

G01C 21/36
H04N 5/225
G06T 7/00
H04N 5/247
H04N 5/33

Described embodiments include a system and method. A system includes a first and second digital imaging devices. Each digital imaging device is configured to capture digital images of a surface traveled by a vehicle. A digital image correlator is configured to (i) correlate a first digital image of the surface captured by a first digital imaging device at a first time and a second digital image of the surface captured by a second digital imaging device at a subsequent second time, and (ii) determine a correlation vector. The first and second imaging devices are separated by a known distance. A kinematics circuit is configured to determine in response to the correlation vector an incremental translation and rotation of the vehicle. The system includes a navigation circuit configured to combine at least two instances of the incremental translation and rotation into data indicative of travel by the vehicle.

2015013, May 14, 2015

Nov 13, 2013

14/078904

- Bellevue WA, US
Joseph R. Guerci - Arlington VA, US
Russell J. Hannigan - Sammamish WA, US
Roderick A. Hyde - Redmond WA, US
Muriel Y. Ishikawa - Livermore CA, US
Jordin T. Kare - Seattle WA, US
Nathan P. Myhrvold - Medina WA, US
David R. Smith - Durham NC, US
Clarence T. Tegreene - Mercer Island WA, US
Yaroslav A. Urzhumov - Bellevue WA, US
Charles Whitmer - North Bend WA, US
Victoria Y. H. Wood - Livermore CA, US

G06K 9/00

382104

Described embodiments include a system and method. A digital imaging device is configured to capture images of a region of a contact between a wheel of a terrestrial vehicle and a surface (“contact region”). A correlator is configured to correlate a first digital image of the contact region captured at a first time with a second digital image of the contact region captured at a second time. A kinematics circuit determines an incremental slide or slip of the wheel relative to the surface. A fraction status circuit combines at least two instances of the incremental slide or slip into data indicative of a slide or slip by the terrestrial vehicle relative to the surface. A communications circuit outputs an electronic signal indicative of the data indicative of a slide or slip by the terrestrial vehicle.