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US Patent 11705009 System and method for optimizing mission fulfillment by unmanned aircraft systems (UAS) via dynamic atmospheric modeling

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Patent
Patent
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Patent attributes

Patent Applicant
Rockwell Collins
Rockwell Collins
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Current Assignee
Rockwell Collins
Rockwell Collins
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117050090
Date of Patent
July 18, 2023
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Patent Application Number
174965520
Date Filed
October 7, 2021
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Patent Citations
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US Patent 9715235 Autonomous unmanned aerial vehicle decision-making
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US Patent 9754496 System and method for management of airspace for unmanned aircraft
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US Patent 9959771 Unmanned aerial vehicle routing using real-time weather data
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US Patent 10049583 Flight condition evaluation and protection for unmanned aerial vehicles and remotely-piloted vehicles
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US Patent 10049590 Method for autonomous controlling of an aerial vehicle and corresponding system
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US Patent 10163357 Navigation assistance data and route planning for drones
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US Patent 10223924 Methods and devices for controlling unmanned aerial vehicle
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US Patent 10421543 Context-based flight mode selection
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...
Patent Primary Examiner
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Andrew W Bee
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CPC Code
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G08G 5/006
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G08G 5/0069
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G08G 5/0034
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G08G 5/0026
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G08G 5/0091
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G08G 5/0039
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A system and method for optimizing mission fulfillment via unmanned aircraft systems (UAS) within a mission space generates or receives atmospheric models forecasting weather and wind through the mission space, the atmospheric models having an uncertainty factor. Until the projected flight time, the controller may iterate through one or more simulations of a projected flight plan through the mission space, determining the probability of successful fulfillment of mission objectives based on the most current atmospheric models (including the ability of the UAS to navigate the flight plan within authorized airspace constraints). Based on conditions and behaviors observed during a simulated flight plan, the controller may revise flight plans, flight times, or atmospheric models for subsequent simulations. Based on multiple probabilities of fulfillment across multiple simulations, the controller selects an optimal flight plan and/or flight time for fulfillment of the assigned set of mission objectives.

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