BAE Systems Chosen to Pioneer Next-Gen Autonomous Target Recognition Technology
The Air Force Research Laboratory (AFRL) has granted BAE Systems a $7.8 million contract to create seamlessly integrated machine learning software as part of the Multi-Sensor Exploitation for Tactical Autonomy (META) initiative. This cutting-edge technology will facilitate enhanced situational awareness and automated target recognition (ATR).
According to the contract stipulations, BAE Systems’ FAST Labs™ research and development division will deliver Environmentally Adaptive Geospatial Learning and Exploitation, a groundbreaking suite of machine learning and fusion algorithms. The system amalgamates numerous components of the company’s vast autonomy portfolio to ensure high-confidence detection, tracking, identification, and intent comprehension for essential mobile targets in contested settings, including targets obscured by camouflage, concealment, and deception tactics.
“By incorporating environmentally adaptive processing, this solution fills a vital gap in machine learning,” stated Mark Kolba, program manager for BAE Systems’ FAST Labs. “Offering localized situational awareness and human-like context of environmental dynamics will considerably diminish false alerts.”
BAE Systems develops autonomous data exploitation capabilities for various systems and sensors, aimed for potential utilization in U.S. military operations across air and space domains. The initiative builds upon the triumph of the company’s Multi-intelligence ATR for Geospatial Intelligence Capabilities technology, which was successfully forged through AFRL’s Study of Emerging Exploitation Developments program.
