The Aerospace Corporation

Donna Branchevsky

Kyle A Logue

David A Ksienski

Esteban Luis Valles

Sebastian Olsen

Aidan R Wilson

Andres Vila Casado

Christopher P Woods

The disclosed threat response system(s) and method(s) provide a mean to secure an area around the clock. The system includes a plurality of microphones strategically located at various locations of the protected area, a plurality of acoustic beacons to provide navigational support one or more autonomous non-flying (ANF) drones, and a central controller. In one example each of the one or more ANF drones are equipped with an acoustic positioning system that uses beacon signals (e.g., mechanical waves) transmitted by the plurality of acoustic beacons to determine its position relative to the plurality of acoustic beacons. Once an acoustic event is detected, it is analyzed to determine whether there is a threat. When the threat is confirmed, the central controller dispatches one or more of the ANF drones to investigate and/or to engage the target.

Systems and methods for threat response

Fusion of trained artificial intelligence (AI) neural networks to produce more accurate classifications is disclosed. Concatenation from each network being merged may be performed. The new set of features, which includes the concatenated layers, is then fed through a new classifier to form a single final classifier that uses the best parts of each input classifier.

Fusing output of artificial intelligence networks

Growing community of inventors

Los Angeles, CA, United States of America

Donna Branchevsky