BAE Systems Selected to Advance Autonomous Technology for Automatic Target Recognition

This technology will enable advanced situational awareness and automatic target recognition (ATR).

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Business Wire, Inc.Business Wire, Inc.
Retrieved on: 
Thursday, June 23, 2022
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Defense, Technology, Aerospace, Manufacturing, Other Technology, Other Defense, Contracts, Credit, Multi, Technology, Air Force Research Laboratory, Geospatial intelligence, BAE Systems, Research, BAE, Program, Deception, AFRL, Atmosphere, META, Multimedia, Machine learning, ATR, Weapon, Instrumentation
Geotags: 
MASSACHUSETTS, UNITED STATES, NORTH AMERICA
Stock Symbol: 
LSE:BA
Summary
Key Points: 
  • This technology will enable advanced situational awareness and automatic target recognition (ATR).
  • (Credit: BAE Systems)
    Under the terms of the award, BAE Systems FAST Labs research and development organization will provide Environmentally Adaptive Geospatial Learning and Exploitation, an innovative suite of machine learning and fusion algorithms.
  • With the addition of environmentally adaptive processing, this solution bridges a critical gap in machine learning, said Mark Kolba, program manager for BAE Systems FAST Labs.
  • BAE Systems develops autonomous data exploitation capabilities for systems and sensors for potential use in U.S. military operations across air and space domains.


The Air Force Research Laboratory (AFRL) awarded BAE Systems a $7.8 million contract to develop tightly integrated machine learning software as part of the Multi-Sensor Exploitation for Tactical Autonomy (META) program. This technology will enable advanced situational awareness and automatic target recognition (ATR).

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BAE Systems to develop tightly integrated machine learning software as part of the Air Force Research Laboratory (AFRL) Multi-Sensor Exploitation for Tactical Autonomy (META) program. (Credit: BAE Systems)

BAE Systems to develop tightly integrated machine learning software as part of the Air Force Research Laboratory (AFRL) Multi-Sensor Exploitation for Tactical Autonomy (META) program. (Credit: BAE Systems)

Under the terms of the award, BAE Systems’ FAST Labs™ research and development organization will provide Environmentally Adaptive Geospatial Learning and Exploitation, an innovative suite of machine learning and fusion algorithms. The system integrates multiple elements of the company’s extensive autonomy portfolio to provide high confidence detection, tracking, identification, and intent understanding for critical mobile targets in contested environments, including targets under camouflage, concealment, and deception.

“With the addition of environmentally adaptive processing, this solution bridges a critical gap in machine learning,” said Mark Kolba, program manager for BAE Systems’ FAST Labs. “Providing local situational awareness and human-like context of environmental conditions will greatly reduce false alarms.”

BAE Systems develops autonomous data exploitation capabilities for systems and sensors for potential use in U.S. military operations across air and space domains. The program builds on the success of the company’s Multi-intelligence ATR for Geospatial Intelligence Capabilities technology that was successfully developed through AFRL’s Study of Emerging Exploitation Developments program.

The software enhances BAE Systems’ extensive autonomy portfolio and 20-year history pioneering autonomy technology.

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