THREAT ASSESSMENT OF UNMANNED AERIAL SYSTEMS USING MACHINE LEARNING

Patent №

US 11,521,128

Granted

2022-12-06

Filed 2020

Owner

RAYTHEON COMPANY

Lab

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16946157

A method includes obtaining multiple data items from multiple heterogeneous data sources, where the multiple data items relate to an unmanned aerial system (UAS) flying in an area. The method also includes processing the multiple data items using a machine learning algorithm to determine a threat level of the UAS to one or more targets in the area. The method further includes outputting the threat level of the UAS for review by a user.

Machine learningVisionKnowledge representationPlanningAI hardwareG06N 20/00G08G 5/26B64D 45/00G05D 1/0088G08G 5/22G08G 5/55B64U 10/13B64U 2101/15+3 more

AI classification

Machine learning1.00
Vision1.00
Knowledge representation0.99
Planning0.96
AI hardware0.93
Natural language0.12
Speech0.02
Evolutionary computation0.01

Ownership

RAYTHEON COMPANY

assignment · 543670345

Assignors

MORO, RICHARD A., JR., JOHNSON, ERIC D., DAI, LIYI, PAYNE, DAVID W.

On an employer assignment, the assignors are typically the inventors.

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