Honeywell International Inc.

Keurig Green Mountain, Inc.

Bedford Systems LLC

Kevin Sweeney

Gary Stacey

Wai Ting Chan

Wesley J Hawkinson

Enrico Raffaele Cafaro

Scott James Grubb

Michael Sack

Peter Rae Peterson

Thomas Fedorka

Steven R Raphaelson

Richard M Estabrook

Ralph K Maider, Jr

Brian B Johnson

J Corey Michal

Justin Joseph Syrstad

Christopher Covey

Raymond Carroll

James Passemato

Brian W Schipper

Randolph G Hartman

Benjamin Mohr

Scott Grubb

Steven Raphaelson

Ralph K Maider

In an embodiment, a method is provided. The method comprises extracting, from an image acquired with a first image-capture device, an image portion having dimensions of an extent of a second image-capture device. The method further comprises normalizing a parameter of the image portion. The method further comprises determining at least one edge of at least one object in the image portion; and generating, in response to the determined at least one edge, an edge map corresponding to the image portion.

Edge detection via window grid normalization

In one embodiment, a method is provided. The method comprises determining a first value of a coefficient of an edge-determining algorithm in response to a spatial resolution of a first image acquired with an image capture device onboard a vehicle, a spatial resolution of a second image, and a second value of the coefficient in response to which the edge-determining algorithm generated a second edge map corresponding to the second image. The method further comprises determining, with the edge-determining algorithm in response to the coefficient having the first value, at least one edge of at least one object in the first image. The method further comprises generating, in response to the determined at least one edge, a first edge map corresponding to the first image. The method further comprises determining at least one navigation parameter of the vehicle in response to the first and second edge maps.

Adaptive gaussian derivative sigma systems and methods

Systems, methods and cartridges for carbonating or otherwise dissolving gas in a precursor liquid, such as water, to form a beverage are disclosed. A gas source, which is used to generate gas that is dissolved into the precursor liquid, and/or a beverage medium, such as a powdered drink mix or liquid syrup, may be provided in a cartridge. The use of one or more cartridges for the gas source and/or beverage medium may make for an easy to use and mess-free system for making sparkling beverages, e.g., in the consumer's home.

Method and apparatus for cartridge-based carbonation of beverages

A system to detect spoofing attacks is provided. The system includes a satellite-motion-and-receiver-clock-correction module, a compute-predicted-range-and-delta-range module, a subtractor, and delta-range-difference-detection logic. The satellite-motion-and-receiver-clock-correction module periodically inputs, from a global navigation satellite system (GNSS) receiver, a carrier phase range for a plurality of satellites. The satellite-motion-and-receiver-clock-correction module outputs a corrected-delta-carrier-phase range for a current epoch to a first input of a subtractor. The compute-predicted-range-and-delta-range module outputs a predicted delta range to a second input of the subtractor. The predicted delta range is based on inertial measurements observed for the current epoch. The subtractor outputs a difference between the corrected-delta-carrier-phase range and the predicted delta range for the current epoch to delta-range-difference-detection logic. The delta-range-difference-detection logic determines if the difference exceeds a selected-range threshold. If the difference exceeds the selected-range threshold, the delta-range-difference-detection logic determines the GNSS receiver was spoofed in the current epoch.

Global navigation satellite system (GNSS) spoofing detection with carrier phase and inertial sensors

A method for navigating underwater is disclosed. The method uses a navigation system to project a first velocity measurement along one or more signal beams having a second velocity measurement, where the second velocity measurement is related to at least one of the one or more signal beams. The method determines a position and location of an object associated with the navigation system based on a prediction of at least the second velocity measurement, and the navigation system is adjusted to perform within a prescribed measurement range based on a covariance of the first and second velocity measurements. The performance adjustments made in determining the position and location of the object are operable independent of the navigation system maintaining each of the signal beams due to one or more external environmental conditions.

Methods and systems for underwater navigation

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Minneapolis, MN, United States of America

Kevin Sweeney