BAE Systems has been awarded a $7.8 million contract by the Air Force Research Laboratory (AFRL) for the development of tightly integrated machine learning software as part of the Multi-Sensor Exploitation for Tactical Autonomy (META) program, aimed at enabling advanced situational awareness and Automatic Target Recognition (ATR).
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 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.”
This 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.