Raytheon Company

Michael P Sica

Jason Dudash

Michael C Xu

Paul Christian Hershey

Michael Henry Lewis

Jared B Dorny

Laura D Strater

Vincent A Pascente

John G Benkert

Marilyn Winklareth Zett

Danielle J Marchione

Michael A Young

David B Jenks

William J Kyker

Terry L Keeney

Kyle V Dumouchelle

Jennifer N Coston

Judy Y Amato

Joseph L Shivers

Justin W Ray

Robert T Stratton

A computer architecture includes an application program interface (API). The API does not include a user interface. The computer architecture asynchronously receives into the API data relating to mission plan domains from clients. The data include an identification of vehicles, goals of the vehicles, and threats to the vehicles. The mission plan domains include an air domain, a sea or ocean domain, and a land domain. The computer architecture uses a parallel processing scheme to process the mission plan domains from the clients for determining goal priorities for each of the plurality of vehicles, processing the data using a genetic algorithm and physics models associated with the plurality of vehicles, and transmitting to the vehicles path commands based on the processing of the genetic algorithm.

Mission plan paths for multi-domain assets

A computing machine stores a tree structure representing a hierarchical organization. The tree structure comprises a command node and a plurality of domain nodes below the command node. The computing machine leverages the tree structure to generate a multi-domain operational plan.

Methods and computer architecture supporting a multi-domain operational plan

Discussed herein are devices, systems, and methods for autonomous, dynamic course of action (COA) generation and management. A method can include issuing a communication to one or more assets indicating operations of a first COA to be performed, receiving, by an intelligence, surveillance, and reconnaissance (ISR) device, data indicating an unexpected event, not accounted for in the first COA, has occurred, in response to the data indicating the unexpected event, identifying a second COA or a portion of a second COA that satisfies a mission of the first COA and accounts for the unexpected event, and issuing a second communication to the one or more assets indicating one or more operations of the second COA to be performed.

Autonomous correction of course of action

A computing machine receives an input comprising: a representation of one or more tasks and a representation of one or more assets. The computing machine initiates generation of a mission plan data structure comprising an assignment of an available asset to each task. Upon successfully generating the mission plan data structure, the computing machine provides an output comprising the mission plan data structure.

Computer architecture for resource allocation for course of action activities

A system for collecting and analyzing agricultural data. A team of crop scouts performs a scouting operation in a farm, each crop scout interacting with a mobile device. The mobile device provides a navigation display guiding the scout along a route, from one data collection point to the next. At each data collection point, the crop scout makes observations and measurements and inputs the corresponding data into the mobile device. A control operator at a central location monitors the progress of the scouting operation and revises the routes or locations of data collection points when appropriate, based on data received during the scouting operation. A cloud service analyzes the data and provides recommendations to a farm operator.

Agricultural situational awareness tool

A processor implemented method and system are disclosed. The method includes generating, based on geographical data and associated video data, a geo-located path having an interactive segment representative of the associated video data. The width of the interactive segment may be adjusted based on the geographical data and time data. A timeline, based on the geographical data and the time data, is generated. The geo-located path is displayed with the interactive segment. The timeline is displayed in response to a selection of the interactive segment. A representation of the video data is displayed in response to the selection of the interactive segment. The representation of the video data is associated with the selected interactive segment. The representation of the video data and the timeline are selectable for time-based navigation through the representation of the video data.

Multi-dimensional video navigation system and method using interactive map paths

Growing community of inventors

Oak Hill, VA, United States of America

Michael P Sica