United States of America as Represented by the Secretary of the Air Force

Smart Information Flow Technologies, LLC

Joshua David Hamell

Christopher A Miller

Robert Shaw

Mark Draper

Jeremy Frank Gottlieb

Jeffrey Eggers

Heath Ruff

Methods, systems, and computer program products for identifying a desired target from among a more general class(es) of objects are provided. A method includes receiving one or more sensor feeds including one or more objects that are identified as being from the same class of objects, scanning the one or more objects to determine if a desired target is among the one or more objects based on a target profile, and identifying the desired target if the target profile matches one or more characteristics of a particular object in the one or more objects. One system includes a sensing device in communication with a hardware processor in which the hardware processor is configured for performing the above method. A computer program product includes computer code for performing the above method when a hardware processor executes the computer code.

Methods and systems for adaptable targeting of an object or event

A system for automating the control of a Remotely Piloted Vehicle (RPV) includes a computer having a processor and a memory, a display operatively coupled to the computer and configured to display a future operating condition of the RPV and an input device operatively coupled to the computer. A predicted noodle tool is executed by the processor and configured to indicate a predicted future path of the RPV by generating a predicted noodle segment on the display. A directed noodle tool is executed by the processor to indicate a pilot-adjustable proposed future flight path of the RPV by generating a directed noodle segment on the display. Further, an input device mode selector is operatively coupled to the processor and configured to selectively map the input device to either manipulate a control surface of the RPV, or to manipulate the directed noodle segment.

Method and apparatus for operator supervision and direction of highly autonomous vehicles

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San Marcos, CA, United States of America

Joshua David Hamell