Threat assessment of unmanned aerial systems using machine learning

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 le...

Full description

Saved in:
Bibliographic Details
Main Authors Moro, Jr., Richard A, Dai, Liyi, Johnson, Erik D, Payne, David W
Format Patent
LanguageEnglish
Published 06.12.2022
Subjects
AEROPLANES
AIRCRAFT
ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSIONTRANSMISSIONS IN AIRCRAFT
AVIATION
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROLLING
COSMONAUTICS
COUNTING
EQUIPMENT FOR FITTING IN OR TO AIRCRAFT
FLYING SUITS
HELICOPTERS
PARACHUTES
PERFORMING OPERATIONS
PHYSICS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSPORTING
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: US202016946157